Information Technology - New Generations

Name: Information Technology - New Generations | 14th International Conference on Information Technology
Brand: Springer
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14th International Conference on Information Technology

Shahram Latifi(Herausgeber*in)

Springer (Verlag)

Erschienen am 15. Juli 2017

XIX, 985 Seiten

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Inhalt

Intro
Contents
ITNG 2017 Organization
General Chair and Editor
Vice General Chair
Publicity Chair
Track Chairs and Associate Editors
Track Co-chairs and Session Chairs
Conference Secretary
Industry Partnership
Chair Message
Reviewers List
Part I: Networking and Wireless Communications
Chapter 1: Performance Enhancement of OMP Algorithm for Compressed Sensing Based Sparse Channel Estimation in OFDM Systems
1.1 Introduction
1.2 System Model
1.3 Compressed Sensing for Sparse Channel Estimation
1.4 Enhanced LMMSE-OMP Channel Estimation
1.5 Simulation Results
1.6 Conclusion
References
Chapter 2: CARduino: A Semi-automated Vehicle Prototype to Stimulate Cognitive Development in a Learning-Teaching Methodology
2.1 Introduction
2.2 Related Works
2.3 CARduino Development
2.3.1 Setting the Bluetooth Module Integrated with Arduino
2.3.2 Physical Prototype (Hardware) Automated Vehicle
2.3.3 Development of Software in Boarded Arduino
2.3.4 Controller Software Development in Android CARduino
2.4 Vehicle Operation of Automated Simulation
2.5 Analysis of Costs CARduino
2.6 Conclusion
References
Chapter 3: ICI Mitigation for High-Speed OFDM Communications in High-Mobility Vehicular Channels
3.1 Introduction
3.2 System Model
3.3 Channel Estimation and ICI Cancellation
3.4 Simulation Results
3.5 Conclusion
References
Mobile Payment Protocol 3D (MPP 3D) by Using Cloud Messaging
4.1 Introduction
4.2 Background
4.3 Proposed Protocol
4.4 Performance Evaluation
4.5 Conclusion
References
Chapter 5: Event-Based Anomalies in Big Data
5.1 Introduction
5.2 Related Work
5.3 Anomaly Detection Techniques
5.4 Anomaly Detection Model
5.5 Event Detection and Analysis Examples Using R
5.6 Conclusions
References
ACO-Discreet: An Efficient Node Deployment Approach in Wireless Sensor Networks
6.1 Introduction
6.2 The Problem of GCLC
6.3 Proposed Framework
6.3.1 Phase-I of Proposed Framework
6.3.2 Phase-II of Proposed Framework
6.4 Simulations and Results
6.5 Conclusion
References
Chapter 7: Golden Linear Group Key Agreement Protocol
7.1 Introduction
7.2 Related Works
7.2.1 Key Agreement Protocol
7.2.2 Group Key Agreement Protocols
7.3 Golden Linear Group Key Agreement Protocol
7.3.1 Golden Key Agreement Protocol (GKA)
7.3.2 Secure Channel Sub-protocol
7.3.3 Initiation Sub-protocol
7.4 Join Protocol
7.5 Leave Protocol
7.6 Complexity
7.7 Comparison
7.8 Experiment
7.9 Conclusion
References
Implementing an In-Home Sensor Agent in Conjunction with an Elderly Monitoring Network
8.1 Introduction
8.1.1 Background and Motivation for Elderly Monitoring Networks
8.1.2 Research Purpose and Outline
8.2 Requirements Analysis in Conjunction with the Bed Monitor and Pillow Sensors
8.2.1 Requirements Analysis of Our Watch-Over Network
8.2.2 Collaboration with a Bed Monitor and Pillow Sensor
8.3 Functions and Specifications of a Sensor Agent in the Home
8.3.1 Features of the In-Home Agent
8.3.2 Specifications
8.4 Design and Implementation of the Home Sensor Agent
8.4.1 Hardware Design and Implementation
8.4.2 Software Design and Implementation
8.4.3 Prototyping and Load Testing
8.5 Collection and Analysis of Multi-fusion Sensors and Trigger Information
8.6 Conclusions and Future Work
References
Chapter 9: How Risk Tolerance Constrains Perceived Risk on Smartphone UsersÂ´ Risk Behavior
9.1 Introduction
9.2 Hypotheses Development
9.3 Data Collection, Analysis and Results
9.4 Conclusions
References
When Asteroids Attack the Moon: Design and Implementation of an STK-Based Satellite Communication Simulation for the NASA-Led ...
10.1 Introduction
10.2 AGI STK Components
10.3 MWSU Communication Satellites Federate
10.3.1 Satellite Constellation and Lunar Visualization Module
10.3.2 Communication Server Module
10.4 Lessons Learned and Recommendations for Future Development
10.5 Conclusion
References
Chapter 11: Wireless Body Sensor Network for Monitoring and Evaluating Physical Activity
11.1 Introduction
11.2 Related Work
11.3 Ubiquitous Computing Environment for Monitoring and Evaluating Physical Activity
11.4 Wireless Body Sensor Network
11.5 WBSN Simulation and Evaluation
11.6 Conclusion
References
Chapter 12: Techniques for Secure Data Transfer
12.1 Introduction
12.2 Advanced Encryption Standard
12.3 AES Attacks
12.4 Steganography
12.5 Related Work
12.6 Implementation and Results
12.7 Conclusion
References
Chapter 13: Rate Adjustment Mechanism for Controlling Incast Congestion in Data Center Networks
13.1 Introduction
13.2 Related Work
13.3 Proposed Algorithm
13.4 Working Rationale of Proposed Algorithm
13.5 Performance Evaluation
13.6 Conclusion
References
Performance Analysis of Transport Protocols for Multimedia Traffic Over Mobile Wi-Max Network Under Nakagami Fading
14.1 Introduction
14.2 Related Work
14.3 Transport Protocols
14.3.1 Multi-path Transport Protocol (MPTCP)
14.3.2 Datagram Congestion Control Protocol (DCCP)
14.3.3 Stream Control Transmission Protocol (SCTP)
14.3.4 Real-Time Transport Protocol (RTP)
14.3.5 User Datagram Protocol (UDP)
14.3.6 Transmission Control Protocol (TCP)
14.4 Nakagami Fading Channel
14.5 Mobile Wi-Max Technology and MPEG-4 Video Traffic
14.6 Simulations
14.6.1 Multiple Mobile Stations Scenario
14.6.1.1 Mobile Nodes at a Speed of 3Km/h
14.6.1.2 Mobile Nodes at a Speed of 3Km/h
14.7 Conclusion
References
Part II: Cybersecurity
Chapter 15: CyberSecurity Education and Training in a Corporate Environment in South Africa Using Gamified Treasure Hunts
15.1 Introduction
15.2 Research Methodology
15.3 Treasure Hunts in Education
15.4 Gamified Treasure Hunts
15.5 Security Topics Covered
15.5.1 Cryptography
15.5.2 GnuPG
15.5.3 Jasypt and Bouncy Castle
15.5.4 SSL
15.5.5 Wireshark
15.5.6 HTTPS vs HTTP
15.5.7 Various Attack Strategies
15.5.8 Steganography
15.5.9 Going Forward
15.6 Results
15.7 Conclusion
References
Chapter 16: Router Security Penetration Testing in a Virtual Environment
16.1 Introduction
16.2 Review of Literature
16.2.1 Distributed Denial of Service (DDoS)
16.2.2 Configuration-Based Vulnerabilities
16.2.3 NAT Vulnerabilities
16.3 Establish Metrics for Router Testing
16.4 Virtualization Methodology
16.4.1 Security Benefits of Virtualization
16.4.2 Penetration Tests
16.4.2.1 NMap
16.4.2.2 MSF Console
16.5 Findings
16.6 Conclusion and Suggestions
References
Chapter 17: Advanced Machine Language Approach to Detect DDoS Attack Using DBSCAN Clustering Technology with Entropy
17.1 Introduction
17.2 Literature Review
17.3 Selected Detection Schemes for This Research
17.4 Proposed System
17.4.1 Research Questions and Hypothesis
17.4.2 Theoretical Framework and Research Methodologies
17.4.2.1 Introduction
17.4.3 The Density-Based Spatial Clustering of Applications with Noise (DBSCAN) Algorithm
17.4.4 How DBSCAN Is Applied with Our Research
17.4.5 The Application of Entropy for This Research
17.5 Conclusion
References
A Novel Regular Format for X.509 Digital Certificates
18.1 Introduction
18.2 An Analysis of X.509
18.3 Specification of the New Digital Certificate Format
18.4 Implementation Strategies and Experimental Validation
18.5 Conclusion
References
Chapter 19: A Software-Defined Networking (SDN) Approach to Mitigating DDoS Attacks
19.1 Introduction
19.2 Literature Review
19.3 SDN Model for DDoS Mitigation
19.4 Case Study: Verizon Networks
19.5 Conclusions
References
Chapter 20: Integrated Methodology for Information Security Risk Assessment
20.1 Introduction
20.2 OCTAVE Method
20.3 CORAS Method
20.4 IS Risk Analysis Method
20.5 ISRAM Method
20.6 Proposal: Integrated Method
20.7 Conclusion
References
Chapter 21: Techniques for Detecting and Preventing Denial of Service Attacks (a Systematic Review Approach)
21.1 Introduction
21.2 Methodology
21.2.1 Methods of the Review
21.3 Denial-of-Service-Resistant Intrusion Detection Architecture
21.3.1 Active IDS Response
21.3.2 Separate Communication Channel and Decentralized Non-hierarchical IDSs
21.3.3 Mobile Recoverable Components
21.4 Analyzing Well-Known Countermeasures Against Distributed DoS Attacks
21.4.1 Location Where the Attack Is Detected
21.4.2 Response Mechanism
21.4.3 Places That a Response Mechanism Applies
21.4.4 Decision Center Place
21.5 DDoS Defense Techniques
21.5.1 Source-End Defense Technique
21.5.2 D-WARD
21.6 Core-end Defense Technique-Gossip Mechanism
21.7 Victim-end Defense
21.7.1 Distributed Defense Technique
21.7.2 Well-Known Detection Methods
21.8 Chi-square Method
21.9 DoS Attacks and Countermeasures in 802.11 Wireless Networks
21.10 Detecting MAC Layer Attacks
21.11 Conclusion
References
Chapter 22: Open Source Intelligence: Performing Data Mining and Link Analysis to Track Terrorist Activities
22.1 Introduction
22.2 Data Collection Using Open Source Intelligence
22.3 Open Source Software for Intelligence Analysis
22.4 Links and Transforms
22.5 Data Analysis Using R and Python
22.6 Findings
22.7 Discussion and Recommendation
22.8 Conclusion
References
Chapter 23: A Description of External Penetration Testing in Networks
23.1 Introduction
23.2 Process and Technology
23.3 Evaluation
23.3.1 Weaknesses
23.3.2 Strengths
23.4 Conclusion
References
Chapter 24: SCORS: Smart Cloud Optimal Resource Selection?
24.1 Introduction
24.2 Background
24.3 SCORS Scheme Objectives
24.4 SCORS Scheme Design
24.5 Experiments and Results
24.5.1 Solving Problem 31
24.5.2 Solving Problem 29
24.5.3 Solving Problem 25
24.6 Acknowledgments
24.7 Conclusion
References
Chapter 25: Towards the Memory Forensics of MS Word Documents
25.1 Introduction
25.2 Background and Related Work
25.3 Methodology
25.4 Experiments
25.4.1 Experimentation Setup
25.4.2 Experimentation Steps
25.5 Results
25.6 Discussion and Future Work
25.7 Conclusion
References
Chapter 26: Two Are Better than One: Software Optimizations for AES-GCM over Short Messages?
26.1 Introduction
26.2 Preliminaries
26.2.1 Efficient AES-GCM Computations on Modern Processors
26.2.2 Processing Multiple Packets in Parallel
26.3 Further Optimization via Sorting by Packet Sizes
26.4 Conclusions
References
Chapter 27: BYOD Security Risks and Mitigations
27.1 Introduction
27.2 Legal Considerations
27.2.1 U.S. Privacy Laws: The Privacy of an Individual
27.2.2 Comingled Data
27.2.3 Device Ownership
27.2.4 Spoliation of Evidence
27.2.5 Variety of BYODs
27.2.6 Cloud Services
27.2.7 Mobile Solutions: MDMs and MAMs
27.3 Risk Mitigation
27.3.1 Define a Strong BYOD Policy
27.3.2 Awareness and Training
27.4 Case Study: Verizon Wireless
27.5 Conclusion
References
Chapter 28: Evaluation of Cybersecurity Threats on Smart Metering System
28.1 Introduction
28.2 Related Studies
28.3 Smart Metering Functional Architecture
28.4 Cybersecurity Challenges in Smart Metering
28.4.1 Smart Metering Cyber Attack
28.4.2 Attack Vectors
28.4.2.1 Device Attack
28.4.2.2 Application Service Attack
28.4.2.3 Network Attack
28.4.2.4 Web Interface Attack
28.4.2.5 Data Integrity Attack
28.5 Experimental Evaluation of Cyberattacks against Smart Metering
28.5.1 Discussion
28.6 Conclusion
References
Chapter 29: A Layered Model for Understanding and Enforcing Data Privacy
29.1 Introduction
29.2 Privacy Metrics and Their Flaws
29.2.1 Deterministic Models
29.2.2 Probabilistic Models
29.2.3 Framework-based Models
29.3 Need for a Different Perspective
29.4 Proposed Layered Model
29.4.1 The Read/Write Layer
29.4.2 The EPA Layer
29.4.3 Trust Layer
29.5 Conclusion
References
Chapter 30: BYOD: A Security Policy Evaluation Model
30.1 Introduction
30.2 Literature Review and Underlying Theories
30.2.1 Risks and Vulnerabilities Associated with BYODs
30.2.2 Methodologies for Building Security Policies
30.2.3 Non-ambiguous Evaluating Process for Policies
30.3 Overview of Model Design
30.3.1 The Reference Policy
30.3.2 The Policy Evaluation Process
30.4 Model Demonstration and Evaluation
30.4.1 Artifact Demonstration
30.4.2 Artifact Evaluation
30.5 Conclusion and Future Work
30.5.1 Conclusion
30.5.2 Future Work
References
Chapter 31: A Novel Information Privacy Metric
31.1 Introduction
31.2 Privacy Metrics
31.3 EPA-Based Privacy Model
31.3.1 Specification of Embedded Privacy Agreement
31.3.1.1 Fundamental Axiom of Privacy
31.3.1.2 Operation Concatenation
31.3.1.3 Lemma 1
31.3.2 Embedded Privacy Agreement (EPA) Matrix
31.3.2.1 Theorem 1
31.3.3 Privacy Violation
31.4 Privacy and Trust
31.4.1 Trust in Parallel
31.4.2 Trust in Tandem
31.4.3 Example of Privacy Given Trust
31.4.4 Imperfect Channel
31.5 Conclusion
References
Chapter 32: An Integrated Framework for Evaluating the Security Solutions to IP-Based IoT Applications
32.1 Introduction
32.2 Background
32.3 An Integrated Framework
32.4 Discussion
32.5 Conclusion and Future Work
References
Chapter 33: Towards the Security of Big Data: Building a Scalable Hash Scheme for Big Graph
33.1 Introduction
33.2 Related Works and Background
33.2.1 Merkle-Hash-Tree
33.2.2 Graph
33.3 Scheme Design and ImplementationM
33.3.1 Attacker Assumption
33.3.2 Review of Standard Hash Scheme
33.3.3 Graph Traversal
33.3.4 Edge Labels
33.3.5 Procedure of Hashing Graph
33.3.6 Birthday Attack Resistance Hash for Graph
33.3.7 MHT Construction Scheme for Graph query
33.3.8 Data Operations and Corresponding MHT Updates
33.4 Security and Performance Analyze
33.4.1 Correctness
33.4.2 Security
33.4.3 Performance Reslut Analysis
33.5 Conclusion and Future Work
References
Chapter 34: A Cluster Membership Protocol Based on Termination Detection Algorithm in Distributed Systems
34.1 Introduction
34.2 Computing System Model, Definition and Assumption
34.3 Cluster Luster Membership Specification
34.4 Cluster Luster Membership Protocol
34.4.1 Cluster Membership in a Wired Network
34.5 Conclusion
References
Part III: Information Systems and Internet Technology
Chapter 35: An Adaptive Sensor Management System
35.1 Introduction
35.2 Related Work
35.3 System Architecture
35.4 Sensor Control Management
35.5 System Prototype
35.6 Experimental Results
35.7 Conclusions
References
Chapter 36: A Cloud Service for Graphical User Interfaces Generation and Electronic Health Record Storage
36.1 Introduction
36.2 Background and Related Work
36.2.1 Archetypes
36.2.2 Related Works
36.3 Proposed Cloud Service
36.3.1 Architecture and Overview
36.3.2 Polyglot Persistence
36.3.3 Generating Graphical User Interfaces
36.4 Results and Discussion
36.5 Conclusion
References
Chapter 37: A Petri Net Design and Verification Platform Based on The Scalable and Parallel Architecture: HiPS
37.1 Introduction
37.2 Petri Net
37.3 The Petri Net Design Tool: HiPS
37.4 On-the-Fly Model Checking
37.4.1 Nested Depth First Search
37.5 Model Checking for LTS in HiPS
37.5.1 Tester Automaton
37.5.2 Graph Contraction
37.6 Implements
37.6.1 User Interface
37.6.2 LTL2BA
37.6.3 Interprocess Connection Between the Model Checking Process and State-Space Generator
37.6.4 Verification Example
37.7 Conclusion
References
Chapter 38: Optimally Compressed Digital Content Delivery Using Short Message Service
38.1 Introduction
38.2 Related Work
38.3 Proposed Methodology
38.4 Experiments and Evaluations
38.5 Conclusion
References
Chapter 39: The Method of Data Analysis from Social Networks using Apache Hadoop
39.1 Introduction
39.2 Distributed Platform Apache Hadoop
39.3 Data Processing with Social Networks Using Apache Hadoop
39.4 Conclusion
References
Chapter 40: Using Web Crawlers for Feature Extraction of Social Nets for Analysis
40.1 Introduction
40.2 Crawling the OSN
40.2.1 Crawler Design
40.3 Preprocessing Layer
40.4 Visualization of Network
40.5 Conclusion
References
Chapter 41: Detecting Change from Social Networks using Temporal Analysis of Email Data
41.1 Introduction
41.2 Temporal email Network Analysis
41.3 Proposed Methodology
41.3.1 Network Extraction and Data Preparation
41.3.2 Segmentation of Network
41.3.3 Network Measure Extraction
41.3.4 Feature Vector Generation
41.4 Conclusion
References
Chapter 42: The Organisational Constraints of Blending E-Learning Tools in Education: LecturersÂ´ Perceptions
42.1 Introduction
42.2 The Problem Statement
42.3 Related Work
42.4 Methodology
42.5 Theoretical Model
42.6 Findings
42.6.1 Top-Down Approach
42.6.2 User Support
42.6.3 Lack of a ICT Budget
42.6.4 Lack of ICT Policy
42.6.5 Lackof Consultation
42.6.6 Academic Freedom Violation
42.7 Conclusion
References
Chapter 43: A Rule-Based Relational XML Access Control Model in the Presence of Authorization Conflicts
43.1 Introduction
43.2 Motivation
43.3 Related Work
43.4 Proposed Authorization Model
43.5 XML-To-Relational Security Policy Conversion
43.6 Illustrative Case Study
43.7 Conclusions
References
Part IV: Entertainment Technology and Education
Chapter 44: A Practical Approach to Analyze Logical Thinking Development with Computer Aid
44.1 Introduction
44.2 Related Works
44.3 Methodology
44.3.1 Tools
44.3.2 Target Audience
44.3.3 Strategy
44.3.4 Activities
44.4 Result
44.4.1 Comparative Analyses Between Classes
44.4.2 Comparative Analysis Between Tools
44.5 Conclusion
References
Chapter 45: A Transversal Sustainability Analysis of the Teaching-Learning Process in Computer Students and Groups
45.1 Introduction
45.2 Information Technology and Sustainability
45.3 Method
45.4 Results
45.5 Conclusions
References
Chapter 46: Cloud Computing: A Paradigm Shift for Central University of Technology
46.1 Introduction
46.2 What Is Cloud Computing?
46.3 Literature Review
46.4 Current Situation at Cut
46.5 Benefits of Cloud Computing for Cut Staff and Students
46.6 Implementation of Cloud Computing in Cut
46.7 Conclusion
46.8 Recommendations
References
Chapter 47: Peer Music Education for Social Sounds in a CLIL Classroom
47.1 Introduction
47.2 Motivation to Learning
47.3 Why Open SoundS
47.4 Application and Analysis /Research Method
47.5 Discussion and Conclusions
References
Chapter 48: Teaching Distributed Systems Using Hadoop
48.1 Introduction
48.2 Related Works
48.3 Course Architecture
48.3.1 Course Topics
48.3.1.1 Scale-Up Architecture
48.3.1.2 Scale-Out Architecture
Client-Server Model
Client-Server with Master-Slave Model
48.3.2 Hadoop Framework
48.4 Proposed Methodology
48.4.1 Case Study
48.5 Conclusions
References
Chapter 49: MUSE: A Music Conducting Recognition System
49.1 Introduction
49.2 Background
49.2.1 Conducting Patterns and the Ictus
49.2.2 Sensors for Gesture Recognition
49.3 System Architecture and Functionality
49.3.1 Overview of the Architecture
49.3.1.1 Presentation Layer
49.3.1.2 Midi Processor Layer
49.4 Machine Learning Module Theory and Results
49.5 Discussion
49.6 Conclusions and Future Work
References
Part V: Agile Software Testing and Development
Chapter 50: Using Big Data, Internet of Things, and Agile for Crises Management
50.1 Introduction
50.2 Background
50.2.1 Problem-Based Learning (PBL)
50.2.2 The Scrum Agile Method and Practices
50.2.3 Big Data
50.2.4 Internet of Things (IoT)
50.2.5 The Hadoop Ecosystem
50.2.6 Cloud Computing and Security
50.2.7 The Management of Emergency Monitoring, Warning, and Prevention in Big Events Situations
50.3 The Project Overview
50.3.1 The Project Vision Artifact
50.3.2 The BD-ITAC Project Architecture
50.4 The Project Development
50.4.1 Sprint 0
50.4.2 Sprint 1
50.4.3 Sprint 2
50.4.4 Sprint 3
50.5 Conclusion
50.6 Future Works
References
Chapter 51: An Agile and Collaborative Model-Driven Development Framework for Web Applications
51.1 Introduction
51.2 Related Works
51.2.1 The AMDD High-Level Life Cycle
51.2.2 The Sage Process
51.2.3 The MDD-SLAP Process
51.3 The AC-MDD Framework
51.4 The Web-ACMDD Method
51.5 Applying the Web-ACMDD Framework to an Academic Case Study
51.6 Conclusion
References
Chapter 52: Generating Control Flow Graphs from NATURAL
52.1 Introduction
52.2 Software Testing
52.2.1 Agile Testing Quadrants
52.2.2 White-Box Testing
52.2.3 Control Flow Technique
52.2.4 Test Cases
52.3 Proposed Tool
52.4 The Main Results
52.4.1 First Experiment
52.4.2 Second Experiment
52.5 Analyses and Discussions
52.6 Conclusion
References
Chapter 53: Requirements Prioritization in Agile: Use of Planning Poker for Maximizing Return on Investment
53.1 Introduction
53.2 Existing Techniques and Challenges
53.3 Multi-phase Solution
53.3.1 Prioritizing Customer Facing Requirement
53.3.2 Prioritizing Technical Debt
53.4 Industrial Case Study
53.5 Threats to Validity
53.6 Future Work
53.7 Conclusion
References
Chapter 54: EasyTest: An Approach for Automatic Test Cases Generation from UML Activity Diagrams
54.1 Introduction
54.2 Related Works
54.3 EasyTest Approach
54.3.1 Phase 1: Importing Activity Diagrams in XMI
54.3.2 Phase 2: Test Cases Generation
54.3.2.1 Activity Dependency Table (ADT) Generation
54.3.2.2 Activity Dependency Graph (ADG) Generation
54.3.2.3 Test Paths Generation
54.3.2.4 Test Cases Generation
54.3.3 Phase 3: Applying Test Cases
54.3.3.1 Before Coding Stage: Test Driven Development (TDD)
54.3.3.2 After Coding Stage: Exporting Generated Test Cases
54.4 EasyTest Tool
54.5 Conclusion and Future Work
References
Chapter 55: An Integrated Academic System Prototype Using Accidents and Crises Management as PBL
55.1 Introduction
55.2 Background
55.2.1 Real-Time Embedded System
55.2.2 Accidents and Crises Management
55.2.3 Scrum Framework
55.2.4 SCADE
55.2.5 Arduino and Raspberry Pi Boards
55.3 The ACMIS Project Setup
55.4 The ACMIS Project Sprints
55.4.1 Sprint 0
55.4.2 Sprint 1
55.4.3 Sprint 2
55.4.4 Sprint 3
55.5 The ACMIS Project Compliance with Safety Standards
55.6 Conclusion
55.6.1 Future Works
References
Chapter 56: Agile Testing Quadrants on Problem-Based Learning Involving Agile Development, Big Data, and Cloud Computing
56.1 Introduction
56.2 Background
56.2.1 The BD-ITAC Project
56.2.2 The Problem-Based Learning (PBL)
56.2.3 The Scrum Agile Method and Practices
56.2.4 The Agile Testing Quadrants
56.3 The Agile Software Testing and Development in the Project
56.3.1 The Sprint #0
56.3.2 The Sprint #1
56.3.3 The Sprint #2
56.3.4 The Sprint 3
56.4 The Main Results
56.5 Conclusion
56.6 Future Works
References
Chapter 57: Integrating NoSQL, Relational Database, and the Hadoop Ecosystem in an Interdisciplinary Project involving Big Dat...
57.1 Introduction
57.2 Background
57.2.1 NoSQL Concept
57.2.2 Apache Cassandra
57.2.3 Big Data and Hadoop
57.2.4 Hadoop Ecosystem
57.2.4.1 Hadoop Common
57.2.4.2 HDFS (Hadoop Distributed File System)
57.2.4.3 MapReduce
57.2.4.4 Apache Hive
57.3 The Project Overview
57.4 The Project Development
57.4.1 Sprint 1: Moving Data into Hadoop
57.4.1.1 Denormalizing the Dataset
57.4.2 Sprint 2: Accessing the Dataset
57.4.3 Sprint 3: Performance Improvements
57.4.4 Testing Architecture
57.5 Results and Discussion
57.6 Conclusion
57.7 Future Works
References
Chapter 58: Enhancing Range Analysis in Software Design Models by Detecting Floating-Point Absorption and Cancellation
58.1 Introduction
58.2 Floating-Point Basics
58.3 Related Work
58.4 Detecting Absorption and Cancellation in Range Analysis
58.4.1 Absorption
58.4.2 Cancellation
58.5 Results
58.6 Conclusion and Future Work
References
Chapter 59: Requirements Prioritization Using Hierarchical Dependencies
59.1 Introduction
59.2 Related Work
59.3 Approach
59.4 Running Example
59.5 Conclusion and Future Work
References
Part VI: Data Mining
Chapter 60: An Optimized Data Mining Method to Support Solar Flare Forecast
60.1 Introduction
60.2 Method Description
60.3 Experiments
60.4 Conclusions
References
Chapter 61: A New Approach to Classify Sugarcane Fields Based on Association Rules
61.1 Introduction
61.2 Related Work
61.3 Proposed Method
61.3.1 Step 1: Learning Model
61.3.2 Step 2: Rule Matches Counter
61.3.3 Step 3: Classification
61.4 Experiment and Results
61.4.1 About the Data
61.4.2 Describing the Experiment and Obtained Results
61.5 Conclusions and Future Works
References
Chapter 62: Visualizing the Document Pre-processing Effects in Text Mining Process
62.1 Introduction
62.2 Theoretical Foundation
62.2.1 Document Pre-processing
62.2.2 Multidimensional Projection
62.3 Visual Analysis of Document Pre-processing Effects
62.4 Experiments
62.5 Conclusions and Future Works
References
Chapter 63: Complex-Network Tools to Understand the Behavior of Criminality in Urban Areas
63.1 Introduction
63.2 Related Work
63.3 Proposed Methodology
63.3.1 Background and Datasets
63.3.2 Mapping of Urban Crimes
63.3.3 Criminal Community Identification
63.3.4 Crime Analysis
63.3.4.1 Measuring the Similarity of Communities
63.3.4.2 Identifying the Behavior of Crimes
63.4 Results and Discussions
63.5 Conclusion
References
Chapter 64: Big Data: A Systematic Review
64.1 Introduction
64.2 Big Data
64.3 Methodology
64.4 Results and Discussion
64.5 Conclusions
References
Chapter 65: Evidences from the Literature on Database Migration to the Cloud
65.1 Introduction
65.2 Methodology
65.3 Evidences from the Literature
65.3.1 Strategies for Database Migration
65.3.2 Issues
65.3.3 Service Providers
65.4 Results and Discussions
65.5 Conclusions
References
Chapter 66: Improving Data Quality Through Deep Learning and Statistical Models
66.1 Introduction
66.2 Related Work
66.2.1 Outlier Detection Technologies
66.2.2 Statistical Quality Control
66.2.3 Deep Learning
66.3 Overview Architecture
66.4 Data Source
66.5 Data Preparation
66.5.1 Transferring String Type
66.5.2 Transferring Date Type
66.5.3 Data Cleaning
66.6 Deep Learning
66.7 Statistical Quality Control Model
66.8 Conclusion
66.9 Future Work
References
Chapter 67: A Framework for Auditing XBRL Documents Based on the GRI Sustainability Guidelines
67.1 Introduction
67.2 Literature Review
67.3 A Service Framework for Sustainability Reports
67.3.1 Integration Process Flow
67.3.2 Corporate Setting Architecture of Continuous Audit
67.3.3 Analysis of the Compliance of Sustainability Reports
67.3.4 Operators for the Assessment of Compliance
67.3.5 Sustainability Analysis
67.4 A Sample of Sustainability Analysis
67.5 Conclusion and Future Work
References
Part VII: Software Engineering
Chapter 68: Mining Historical Information to Study Bug Fixes
68.1 Introduction
68.2 Related Work
68.3 Dataset and Characteristics
68.4 Results
68.5 Threats to Validity
68.6 Conclusion
References
Chapter 69: An Empirical Study of Control Flow Graphs for Unit Testing
69.1 Introduction
69.2 Control Structures in Bytecode
69.2.1 Running Example
69.2.2 Extracting Control Structures
69.3 Bytecode CFG Construction
69.3.1 Identifying the Vertices
69.3.2 Identifying Edges
69.3.3 Compound Conditions in CFG
69.4 An Extended Force-Based CFG Visualizer
69.4.1 Extended Force-Based CFG Visualization Algorithm
69.4.2 Positioning Source and Sink Vertices
69.4.3 Positioning Loops and Jump Edges
69.5 Empirical Study
69.6 Related Work
69.7 Conclusion
References
Chapter 70: A New Approach to Evaluate the Complexity Function of Algorithms Based on Simulations of Hierarchical Colored Petr...
70.1 Introduction
70.2 Related Works
70.3 Theoretical Foundations
70.3.1 Asymptotic Notation
70.3.2 Algorithm Minimax
70.3.3 Hierarchical Colored Petri Net
70.4 Modeling Command Structures
70.4.1 Assignment Command
70.4.2 Conditional and Iterative Commands
70.4.3 Recursive Command
70.4.3.1 Modeling Recursive Call
70.4.3.2 Modeling Recursive Return
70.5 Calculating Complexity Functions Through Model Simulations
70.5.1 Modeling the Minimax
70.5.1.1 Modeling the Minimax Control Policies
70.5.2 Simulation Model: Estimating the Runtime of Minimax
70.6 Conclusions and Future Works
References
Chapter 71: Detection Strategies for Modularity Anomalies: An Evaluation with Software Product Lines
71.1 Introduction
71.2 Background
71.3 Study Settings
71.3.1 Goal and Research Questions
71.3.2 Study Steps
71.3.3 Selected Artifacts
71.4 Comparison of Existing Strategies
71.5 Comparison with Novel Strategies
71.6 Threats to Validity
71.7 Related Work
71.8 Conclusion and Future Work
References
Chapter 72: Randomized Event Sequence Generation Strategies for Automated Testing of Android Apps
72.1 Introduction
72.2 Related Work
72.3 Dynamic Event Sequence Generation
72.4 Frequency-Based Event Selection Strategies
72.4.1 Frequency Weighted Selection
72.4.2 Minimum Frequency Selection
72.5 Evaluation
72.5.1 Research Questions
72.5.2 Subject Apps
72.5.3 Implementation
72.5.4 Experimental Setup and Design
72.5.5 Results
72.6 Discussion and Implications
72.6.1 Potential Correlations and Factors Affecting Effectiveness
72.6.2 Practical Implications for Testers
72.7 Threats to Validity
72.8 Conclusions and Future Work
References
Chapter 73: Requirement Verification in SOA Models Based on Interorganizational WorkFlow Nets and Linear Logic
73.1 Introduction
73.2 Theoretical Background
73.2.1 Interorganizational WorkFlow Net
73.2.2 Linear Logic
73.2.3 Branching Bisimilarity
73.3 Requirement Verification in SOA Models
73.3.1 Proposed Method
73.3.2 Method Application
73.4 Discussion and Conclusion
References
Chapter 74: Cambuci: A Service-Oriented Reference Architecture for Software Asset Repositories
74.1 Introduction
74.2 Related Work
74.3 Establishment of Cambuci
74.4 Evaluation of Cambuci
74.5 Conclusion and Future Work
References
Chapter 75: Extending Automotive Legacy Systems with Existing End-to-End Timing Constraints
75.1 Introduction
75.2 Related Work
75.3 Background and Component Model
75.3.1 Component Model
75.3.1.1 Timing Model for DL-SWCs
75.3.1.2 Communication Mechanism
75.3.2 End-to-End Delay
75.3.3 Implementation Level
75.3.4 Calculating the End-to-End Delays
75.3.5 Job-Level Dependencies
75.4 Challenges of Extending Legacy Systems
75.4.1 Implications of the Period Selection
75.4.2 Exhaustive Search
75.5 Synthesize Periods for Partial Component Chains
75.5.1 Algorithm Description
75.5.2 Timing Analysis Variants
75.6 Industrial Case Study
75.6.1 Required Execution Time
75.7 Conclusions and Future Work
References
Chapter 76: Modeling of Vehicular Distributed Embedded Systems: Transition from Single-Core to Multi-core
76.1 Introduction
76.1.1 Motivation
76.1.2 Paper Layout
76.2 Research Challenges and Paper Contribution
76.3 Background: RCM and Rubus-ICE
76.4 Structural Hierarchy in the Component Models Supporting Single-Core ECUs
76.5 Proposed Extensions to the Structural Hierarchy
76.6 Summary of Ongoing Work
References
Chapter 77: On the Impact of Product Quality Attributes on Open Source Project Evolution
77.1 Introduction
77.2 Background and Related Work
77.3 Exploratory Study
77.3.1 Data Collection
77.3.2 Target OSS Projects
77.3.3 The Study Protocol
77.3.4 Participants Selection
77.4 Data Analysis
77.4.1 Participant 1
77.4.2 Participant 2
77.4.3 Participant 3
77.4.4 Participant 4
77.4.5 Participant 5
77.4.6 Participant 6
77.5 Conclusions
77.5.1 Threats to Validity
77.5.2 Future Works
References
Chapter 78: AD-Reputation: A Reputation-Based Approach to Support Effort Estimation
78.1 Introduction
78.2 Background
78.3 AD-Reputation
78.3.1 Reputation Calculation Model
78.3.2 Developer Ranking Reputation View
78.3.3 Estimating Effort
78.4 Experimental Study
78.5 Final Considerations
References
Chapter 79: Pmbench: A Micro-Benchmark for Profiling Paging Performance on a System with Low-Latency SSDs
79.1 Introduction
79.2 Background
79.3 Design and Implementation
79.4 Evaluation
79.4.1 Experimental Setup
79.4.2 Analyzing Pmbench Result
79.4.3 Paging Performance Comparison
79.5 Related Works
79.6 Conclusion
References
Chapter 80: Design Observer: A Framework to Monitor Design Evolution
80.1 Introduction
80.2 Related work
80.3 Overview of the Framework
80.4 Checking Design Violations
80.4.1 PatternPreserver
80.4.2 MetricEnforcer
80.4.3 CostMeasurer
80.5 Identifying Designers
80.5.1 DesignHandler
80.5.2 Contributor
80.6 Consistency Between Code and Design
80.7 Preliminary Evaluation
80.8 Conclusions and Future work
References
Chapter 81: Generating Sequence Diagram and Call Graph Using Source Code Instrumentation
81.1 Introduction
81.2 Related Work
81.3 Overview of the Framework
81.4 Case Study and Descussion
81.5 Conclusion
References
Part VIII: High Performance Computing Architectures
Chapter 82: Data Retrieval and Parsing of Form 4 from the Edgar System using Multiple CPUs
82.1 Introduction
82.1.1 Form 4: Insider Trading
82.1.2 Form 4: Potential Uses
82.2 Prior Works
82.3 Data Source and Format
82.3.1 File Transfer Protocol (FTP) Server
82.3.1.1 Indexes
82.4 System Overview
82.4.1 FTP
82.4.2 System Updating
82.4.3 Index Retrieval
82.4.4 Data Retrieval
82.4.5 Data Parsing Class
82.5 Hardware and Language
82.6 Profiling: Parallel Justification
82.7 Sequential Execution
82.8 Parallel Execution
82.8.1 Set-up
82.9 Results
82.10 Conclusion and Future Work
References
Chapter 83: A New Approach for STEM Teacher Scholarship Implementation
83.1 Introduction
83.2 Literature Review
83.3 Three-Tiered Noyce Partnership Structure and Implementation
83.4 Survey and Interview Results
83.5 Conclusion
References
Chapter 84: Improving the Performance of the CamShift Algorithm Using Dynamic Parallelism on GPU
84.1 Introduction
84.1.1 MeanShift
84.1.2 CamShift
84.1.3 Compute Il and Adjust Search Window Size in CamShift
84.1.4 Graphics Processing Unit (GPU)
84.2 Existing Work and Their Limitations
84.3 Our Contributions
84.3.1 Dynamic Parallelism (DP)
84.3.2 Our Design and Advantage
84.4 Implementation
84.4.1 Preprocessing
84.4.2 Parent Kernel for Processing One Video Frame
84.5 Experimental Results
84.6 Conclusion and Future Work
References
Chapter 85: Sumudu Transform for Automatic Mathematical Proof and Identity Generation
85.1 Introduction
85.2 Application in Coefficient Calculation
85.3 Automatic Proof of Identities
85.4 Automatic Generation of New Identities
85.5 Conclusions
References
Chapter 86: A Multiobjective Optimization Method for the SOC Test Time, TAM, and Power Optimization Using a Strength Pareto Ev...
86.1 Introduction
86.1.1 Related Work
86.1.2 Strength Pareto Evolutionary Algorithm
86.2 Problem Formulation
86.2.1 Chromosomal Representation
86.2.2 Initial Population
86.2.3 Archive
86.2.4 Fitness Function
86.2.5 Selection and Reproduction
86.2.6 Genetic Operators
86.2.6.1 Mutation
86.2.6.2 Crossover
86.3 Annealing Bin Packing Algorithm
86.4 Hierarchical Test Scheduling Algorithm
86.5 Experimental Results
86.6 Conclusion
References
Part IX: Computer Vision, HCI and Image Processing/Analysis
Chapter 87: Handwritten Feature Descriptor Methods Applied to Fruit Classification
87.1 Introduction
87.2 Feature Descriptor Methods
87.2.1 New Feature Descriptor Approaches
87.3 Experiments
87.4 Detailed Inspection with Image Visualization
87.5 Conclusions and Future Works
References
Chapter 88: A No-Reference Quality Assessment Method of Color Image Based on Visual Characteristic
88.1 Introduction
88.2 Quality Assessment Model of Color Image
88.3 Experimental results and analysis
88.3.1 Quantitative Analysis of Expand Region
88.3.2 Contrast Optimization Analysis Under Visual Masking Effect
88.3.3 Comparative Analysis of Related Methods
88.3.4 Performance Analysis on Other Image Databases
88.4 Conclusion
References
Chapter 89: Approaches for Generating Empathy: A Systematic Mapping
89.1 Introduction
89.2 Method
89.2.1 Research Questions
89.2.2 Search and Selection Strategy
89.2.3 Selection Criteria
89.3 Results and Discussion
89.4 Threats to Validity
89.5 Conclusion
References
Chapter 90: Multi-camera Occlusion and Sudden-Appearance-Change Detection Using Hidden Markovian Chains
90.1 Introduction
90.2 Visual Tracking System and Hidden Markovian Model
90.3 Recursive Bayesian Estimation
90.4 Experimental Result
90.5 Conclusion
References
Chapter 91: Store Separation Analysis Using Image Processing Techniques
91.1 Introduction
91.2 Store Separation
91.3 Application Architecture
91.3.1 Determine the Optical System
91.3.2 Determine the Track Target
91.3.3 Determine the Position and Attitude of Cameras
91.3.4 Measurement of Store and Aircraft Track Targets
91.3.5 Calibration of the Principal Point of the Cameras and the Focal Length of the Cameras
91.4 Synthetic Scenario Test
91.5 Pit Drop Testing
91.6 Conclusions
References
Chapter 92: Ballistic Impact Analysis Using Image Processing Techniques
92.1 Introduction
92.2 Ballistic Protection
92.3 Application Architecture
92.3.1 Warm-Up
92.3.2 Camera Calibration
92.4 Experiments and Data Analysis
92.4.1 Tests
92.4.2 Data Analysis
92.5 Conclusions
References
Chapter 93: iHelp HEMOCS Application for Helping Disabled People Communicate by Head Movement Control
93.1 Introduction
93.2 Proposed iHelp HEMOCS System
93.2.1 What Is Head Movement Control Systems
93.2.2 Head Pose Gesture Control Function
93.2.3 Method for Detecting Head Pose Movement
93.3 Implementation and Evaluation
93.3.1 Implementation of iHelp HEMOCS
93.3.2 Accuracy Evaluation
93.3.3 Usability Evaluation
93.4 Conclusion and Future Works
References
Part X: Signal Processing, UAVs
Chapter 94: Evaluation of Audio Denoising Algorithms for Application of Unmanned Aerial Vehicles in Wildlife Monitoring
94.1 Introduction
94.2 Denoising Algorithms
94.2.1 Wiener Filter
94.2.2 Least Mean Square Algorithm
94.2.3 Block Thresholding
94.2.4 Discrete Wavelet Transform
94.2.5 Implementation of Denoising Algorithms
94.2.6 Results
94.2.6.1 Denoising Results
94.2.6.2 Classification Results
94.3 Conclusions
References
Chapter 95: Development of a Portable, Low-Cost System for Ground Control Station for Drones
95.1 Introduction
95.2 Background
95.3 Materials and Methods
95.4 Results and Discussion
95.5 Conclusion
References
Chapter 96: Collision Avoidance Based on Reynolds Rules: A Case Study Using Quadrotors
96.1 Introduction
96.2 Background and Related Work
96.3 Materials and Methods
96.3.1 Swarm Robotics
96.3.2 Quadrotor Dynamics
96.3.3 Pixhawk
96.3.4 Robots
96.3.5 Mission Description
96.4 Results and Discussion
96.4.1 System Architecture
96.4.2 Algorithm Implementation
96.4.3 Simulation
96.5 Conclusion
References
Chapter 97: PID Speed Control of a DC Motor Using Particle Swarm Optimization
97.1 Introduction
97.2 PMDC Motor Model
97.3 PID-PSO Algorithm
97.4 Application to the PMDC Motor
97.5 Improvement of Pid-Pso Performance
97.5.1 Effect of Varying the Acceleration Constants
97.5.2 Effect of Varying the Inertia Weight
97.5.3 Effect of Varying the Number of Particles
97.5.4 Effect of Varying the Number of Iterations
97.5.5 Comparison of Initial and Improved Control System Responses
97.6 Conclusion
References
Chapter 98: Use of Intelligent Water Drops (IWD) for Intelligent Autonomous Force Deployment
98.1 Introduction
98.2 Background
98.2.1 Troop Deployment
98.2.2 Need in the Context of Autonomous Warfighters
98.2.3 Intelligent Water Drops
98.3 Intelligent Water Drops Troop Deployment Algorithm
98.4 IWD Bifurcation and Distributaries
98.5 IWD Bifurcation and Troop Deployment
98.6 Qualitative Evaluation
98.7 Research Methods, Evaluation Scenario and Results
98.8 Analysis of Results
98.9 Discussion
98.10 Conclusions and Future Work
References
Chapter 99: Match-the-Sound CAPTCHA
99.1 Introduction
99.2 Related Work
99.3 Proposed MS-CAPTCHA Scheme
99.4 Experimentation and Results
99.5 Conclusions and Future Work
References
Part XI: Health, Bioinformatics, Pattern Detection and Optimization
Chapter 100: Information Technology - Next Generation: The Impact of 5G on the Evolution of Health and Care Services
100.1 Introduction
100.2 Empiric Evidence for the Rapid Evolution of eHealth as a 5G Application Domain
100.3 The Emergence of Low Power Wide Area Technology and Its Implications for Health Care
100.4 Smart Phones, 4G and mm Waves
100.5 Advanced 5G Functionalities
100.6 The Role of Mobile Edge Clouds
100.7 Next Generation Network Abilities
100.8 5G Service Examples and Bandwidth Requirements
100.9 Conclusions
References
Chapter 101: Testing Cloud Services Using the TestCast Tool
101.1 Introduction
101.2 Motivation and Background
101.3 Testing Methodology of Cloud Services
101.4 General overview of the TestCast TTCN-3 Tool
101.5 Lessons Learned
101.6 Conclusions
References
Chapter 102: Evaluation of High-Fidelity Mannequins in Convulsion Simulation and Pediatric CPR
102.1 Introduction
102.2 Methodology
102.3 Results and Discussions
102.3.1 Convulsion
102.3.2 Need of CPR
102.3.3 MannequinÂ´s Response to the Execution of Pediatric CPR Maneuvers
102.4 Conclusion
References
Chapter 103: wCReF - A Web Server for the CReF Protein Structure Predictor
103.1 Introduction
103.2 Implementation
103.2.1 Preparing the CReF Environment
103.2.2 Deciding the Architectural Model
103.2.3 Conducting the Usability Evaluations
103.2.4 Algorithm
103.2.5 User Interface
103.3 Discussion
103.3.1 Availability and Requirements
103.4 Conclusion
References
Chapter 104: Automating Search Strings for Secondary Studies
104.1 Introduction
104.2 Background
104.2.1 Secondary Studies
104.2.2 Hill Climbing and Fitness Function
104.3 The SBSG Approach
104.3.1 Proof-of-Concept Implementation
104.4 Empirical Evaluation
104.4.1 Research Questions
104.4.2 Goals
104.4.3 Experimental Design and Execution
104.5 Results and Discussion
104.5.1 Sensibility and Precision
104.5.2 Efficiency
104.5.3 Threats to Validity
104.6 Conclusion and Future Work
References
Chapter 105: Visual Approach to Boundary Detection of Clusters Projected in 2D Space
105.1 Introduction
105.2 Background
105.3 Boundary Detection Approach
105.4 Experiments
105.5 Conclusions and Future Works
References
Chapter 106: Opposition-Based Particle Swarm Optimization Algorithm with Self-adaptive Strategy
106.1 Introduction
106.2 A Brief Overview of the PSO Algorithm
106.3 The SAOPSO Algorithm
106.3.1 Adaptive Inertia Weight
106.3.2 Opposite-Based Learning
106.3.3 Dynamic Adjustment of Cauchy Mutation Probability
106.3.4 The SAOPSO Algorithm
106.4 Simulation Experiment and Result Analysis
106.4.1 Benchmark Function
106.4.2 Parameter Settings
106.4.3 Experimental Results and Performance Comparison
106.5 Conclusion
References
Part XII: Education, Applications and Systems
Chapter 107: Recruitment Drive Application
107.1 Introduction
107.2 System Analysis and Design
107.2.1 Output Design
107.2.2 Input Design
107.2.3 Logical Design
107.3 Developing the Application
107.4 Software Modules
107.5 Conclusions
References
Chapter 108: Evaluating Assignments Using Grading App
108.1 Introduction
108.2 Background
108.3 Software Design
108.4 Using GradingApp
108.5 Conclusions and Future Work
References
Chapter 109: A Heuristic for State Power Down Systems with Few States
109.1 Introduction
109.2 The Power Down Problem
109.3 Optimizing the Online Algorithm
109.4 Power Down Heuristic
109.5 Conclusion
References
Chapter 110: Internet Addiction in Kuwait and Efforts to Control It
110.1 Introduction
110.2 Review of Related Literature
110.3 Internet Addiction in Kuwait
110.4 Efforts to Control Internet Addiction
110.5 Conclusion and Recommendations
References
Chapter 111: Approaches for Clustering Polygonal Obstacles
111.1 Introduction
111.2 Preliminaries
111.3 Clustering Obstacles
111.3.1 Problem Formulation
111.3.2 Proximity Graph Approach
111.3.3 Visibility Graph Approach
111.4 Discussion
References
Part XIII: Short Papers
Chapter 112: Usability in Computer Security Software
112.1 Introduction
112.2 Related Jobs
112.3 Usability and Heuristic Evaluation
112.4 Computer Security Tools
112.5 Results Obtained
112.6 Conclusions
References
Chapter 113: Techniques for Detecting, Preventing and Mitigating Distributed Denial of Service (DDoS) Attacks
113.1 Introduction
113.2 DDoS Detection
113.2.1 Around-the-Clock Monitoring
113.2.2 Pattern and Third-Party Detection
113.2.3 Dynamic Deterministic Marking and NIDS
113.3 Prevention
113.3.1 Kona Site Defender Technology from IBM/Akamai
113.3.2 Security Awareness and Multifactor Authentication
113.3.3 Antimalware Software
113.3.4 Disabling Unused Services and Other Security Best Practices
113.4 Mitigation
113.4.1 OWASP Guidance in DDoS Mitigations
113.4.2 Class Based Queuing Queues and SLA/ IMPERVA and CISCO Mitigations
113.5 Conclusion
References
Chapter 114: Next-Generation Firewalls: Cisco ASA with FirePower Services
114.1 Introduction
114.2 Cisco ASA Technology
114.3 FirePower Services Technology
114.4 Strengths of FirePower Services
114.5 Limitations of FirePower Services
114.6 Conclusion
References
Chapter 115: DDoS Attacks: Defending Cloud Environments
115.1 Introduction
115.2 Summary: DDoS Defense Mechanisms
115.2.1 Selective Blackholing
115.2.2 Consecutive Packet Entropy
115.2.3 Chi-Square Statistic
115.3 Summary: Catch Me If You Can: A Cloud-Enabled DDoS Defense
115.3.1 Shuffling
115.3.2 Replication
115.3.3 Entropy
115.4 Summary: DDoS Attack Protection in the Era of Cloud Computing and Software-Defined Networking
115.4.1 DaMask
115.4.2 Graphical Model Detection
115.4.3 Bayesian Approach
References
Chapter 116: Cyber Security Policies for Hyperconnectivity and Internet of Things: A Process for Managing Connectivity
116.1 Introduction
116.2 Internet of Things
116.3 Managing Risks
116.4 Hyperconnectivity
116.5 Testing
116.6 Conclusion
References
Chapter 117: DDoS Countermeasures
117.1 Introduction
117.2 Hybrid Intrusion Detection Techniques
117.3 Distributed Filtering
117.4 Prevention Mechanisms
117.5 DDoS Determinations
117.6 Conclusion
References
Chapter 118: Removal of Impulsive Noise From Long Term Evolution Handset
118.1 Introduction
118.1.1 Long Term Evolution
118.1.2 Impulsive Noise
118.1.3 MIMO
118.1.4 Alamounti Transmission
118.2 Background
118.2.1 Addition of IN
118.2.1.1 Space Time Block Coding and Space Frequency Block Coding
118.2.1.2 Space Time Block Coding and IN
118.3 Methodology
118.3.1 Threshold Detection and Blanking Method
118.3.2 Blanking Versus Clipping
118.3.3 Using Receive Diversity to Eliminate IN
118.3.4 Selection of Threshold
118.3.5 Conservative Threshold
118.3.6 Aggressive Threshold
118.4 Results
118.5 Conclusion
References
Chapter 119: A Synchronization Rule Based on Linear Logic for Deadlock Prevention in Interorganizational WorkFlow Nets
119.1 Introduction
119.2 Theoretical Background
119.3 Synchronization Rule
119.4 Conclusion
References
Chapter 120: Summary Report of Experimental Analysis of Stemming Algorithms Applied to Judicial Jurisprudence
120.1 Introduction
120.2 Related Work
120.3 Definition and Experiment Planning
120.3.1 Goal Definition
120.3.2 Planning
120.4 Results
120.4.1 Analysis and Interpretation
120.4.2 Threats to Validity
120.5 Conclusion and Future Work
References
Chapter 121: Applying Collective Intelligence in the Evolution of a Project Architecture Using Agile Methods
121.1 Introduction
121.2 The Case Study
121.3 Result Analysis
121.4 Conclusion
References
Chapter 122: Development of Human Faces Retrieval in a Big Photo Database with SCRUM: A Case Study
122.1 Introduction
122.2 Implemented Fraud-Prevention Case
122.3 The Deliverables
122.4 The Agile Methodology
122.5 Conclusion
References
Chapter 123: An Agile Developed Interdisciplinary Approach for Safety-Critical Embedded System??
123.1 Introduction
123.2 Accidents and Crises
123.3 The Case Study
123.4 Conclusion
References
Chapter 124: The Implementation of the Document Management System ``DocManÂ´Â´ as an Advantage for the Acceleration of Adminis...
124.1 Introduction
124.2 System for Document Management ``DocManÂ´Â´
124.3 The Advantages of Using the DMS ``DocManÂ´Â´
124.4 Questionnaire
124.5 Conclusion
References
Index

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