Selected Papers from the 12th International Networking Conference

Name: Selected Papers from the 12th International Networking Conference | INC 2020
Brand: Springer
Price: 213.99 EUR
Availability: OnlineOnly

INC 2020

Bogdan Ghita Stavros Shiaeles(Editor)

Springer (Publisher)

1st Edition

Published on 4. January 2021

VIII, 242 pages

E-Book

PDF with digital watermarking

System requirements

978-3-030-64758-2 (ISBN)

€213.99incl. 7% vat

System requirements

for PDF with digital watermarking

E-Book Single Licence

Available for download

Description

More details

Other editions

Content

Intro
Message from Conference Chairs
Contents
Security
Malware Behavior Through Network Trace Analysis
1 Introduction
2 Background and Related Work
2.1 Static Analysis
2.2 Dynamic Analysis on Host
2.3 Dynamic Analysis of Network Behavior
3 Capturing Malware Network Behavior
3.1 Analysis Environment
4 Sample Embedding
4.1 Application Data Unit (ADU)
4.2 Payload Byte Frequency
4.3 Malware Similarity
5 Evaluation of Contemporary Malware
5.1 Experiment Setup
6 Clustering Flow Embeddings Using Machine Learning
6.1 Clustering by ADU Sequence
6.2 Clustering by Payload Sizes
6.3 Sample Diversity
7 Discussion and Future Work
8 Conclusion
References
RC4D: A New Development of RC4 Encryption Algorithm
1 Introduction
2 Literature Review
3 Description of RC4
4 The Cryptanalysis of RC4
5 Modified RC4 Algorithm
6 Performance Evaluation
6.1 Distant-Equalities Statistical Test
6.2 Randomness Test
7 Implementation
8 Conclusions
References
A Novel Multimodal Biometric Authentication System Using Machine Learning and Blockchain
1 Introduction
2 Related Work
3 Proposed Approach
3.1 Biometrics Acquisition
3.2 Biometrics Verification and Normalisation
3.3 Machine Learning and Confidence Level
3.4 Blockchain
4 Experimental Analysis
4.1 Experiment Setup
4.2 Discussion and Results
5 Conclusion
References
User Attribution Through Keystroke Dynamics-Based Author Age Estimation
1 Introduction
2 Background
3 Method
3.1 Keystroke Dynamics Dataset
3.2 Feature Extraction and Feature Selection
3.3 Experimental Procedure and Validation of Models
4 Experiments and Results
4.1 Evaluation and Comparison of Results
5 Future Research Directions
6 Conclusion
References
802.11 Man-in-the-Middle Attack Using Channel Switch Announcement
1 Introduction
2 Previous Attacks and Limitations
2.1 ARP Poisoning
2.2 Deauthentication
2.3 Disassociation Attack
2.4 Jamming Attack
3 Testbed and Results
3.1 Scenario Description
3.2 Rogue AP's Received Signal Strength Higher Than Legitimate AP
3.3 Legitimate AP's Received Signal Strength Higher Than Rogue AP
4 Conclusions
References
IoT
Machine Learning Based IoT Intrusion Detection System: An MQTT Case Study (MQTT-IoT-IDS2020 Dataset)
1 Introduction
2 Dataset
3 Experiments and Results
4 Conclusion and Future Work
References
Smart Lamp or Security Camera? Automatic Identification of IoT Devices
1 Introduction
2 Motivation
3 Device Classification
4 Proof of Concept
4.1 Classification of Device Type
5 Evaluation
6 Legal Issues
7 Discussion
8 Related Work
9 Conclusion
References
Intelligent Self-reliant Cyber-Attacks Detection and Classification System for IoT Communication Using Deep Convolutional Neural Network
1 Introduction
2 Dataset of Cyber-Attacks
3 System Modeling
3.1 Implementation of Feature Engineering (FE) Subsystem
3.2 Implementation of Feature Learning (FL) Subsystem
3.3 Implementation of Detection and Classification (DC) Subsystem
3.4 System Integration
4 Simulation Environment
5 Results and Discussion
6 Conclusions and Future Directions
References
On Federated Cyber Range Network Interconnection
1 Introduction
2 Related Works
3 CR Interconnection Framework
3.1 Framework Metrics
3.2 CR Federation Requirements
3.3 Interconnection Requirements
3.4 Interconnection Techniques
3.5 Network Architecture
4 Results
4.1 Tests Parameters
5 Conclusions
References
Routing and Transport
Multi-level Hierarchical Controller Placement in Software Defined Networking
1 Introduction
2 General Formulation of the Controller Placement Problem
2.1 Average-Case Latency
2.2 Worst-Case Latency
2.3 Formulation Constraints
3 Proposed Architecture and Methodology
4 Evaluation and Results
4.1 Western European NRENs Topology
4.2 First Optimization: Clustering-Based
4.3 Second Optimization: Master Controllers (MCs) Placement
4.4 Applicability Case Study
5 Conclusion
References
A Novel Congestion Avoidance Algorithm Using Two Routing Algorithms and Fast-Failover Group Table in SDN Networks
1 Introduction
2 Related Works
3 Proposed Algorithm
4 Performance Evaluation
4.1 Test Environment
4.2 Base Algorithm
4.3 Sample Topology
4.4 TCP Mode Performance
4.5 UDP Mode Performance
5 Conclusions
References
Impact of TCP Congestion Control Algorithms on HTTP/x Performance
1 Introduction
1.1 Motivation and Goals
2 Background and Related Work
3 Methodology
4 Experiments
4.1 Data
5 Results
5.1 continuous_flow Dataset
5.2 flags Dataset
5.3 Twitter Dataset
5.4 Netflix Dataset
5.5 Summary by Dataset
6 Conclusions
References
Wireless Networking
Design and Preliminary Functionality Test of Road Network Traffic Monitoring System Based on Indoor SDWMN In-band Architecture
1 Introduction
2 Design of Indoor SDWMN In-band Architecture
2.1 Design of Indoor SDWMN In-band Testbed
2.2 Implementation of Indoor SDWMN In-band Testbed
3 Functionality Testing of Indoor SDWMN In-band Testbed
4 Conclusion
References
Power Optimized Source-Based-Jamming for Secure Transmission through Untrusted AF Relays
1 Introduction
2 System Description and Proposed Transmission Scheme
3 Secrecy Rate Analysis
3.1 Relay Selection
3.2 System Secrecy Rate
3.3 Secrecy Rate of Worst Case Scenario (WC)
4 Nelder-Mead Power Optimization Method (N-M)
5 Results and Discussion
6 Conclusions
References
Cyber Security Attacks on Identity and Location of Vehicle Ad-Hoc Networks
1 Introduction
1.1 VANET Architecture
1.2 VANET Communication
1.3 Methodology
1.4 Literature Review
2 Cyber Security Attack on Identity and Positioning
2.1 Single-Vehicle Faked Location (SVFL)
2.2 Multi-vehicle Faked Location (MVFL)
2.3 Single-Path Faked Location (SPFL)
2.4 Multi-path Faked Location (MPFL)
3 Cybersecurity Attack Experiment
3.1 Configuration of the Experiment on the Simulation
3.2 The Machine Learning Software
3.3 Classification Algorithms
3.4 The Generated Dataset
4 Cybersecurity Attack Results
4.1 Naïve Bayes Classifier Results
4.2 Random Tree Classifier Results
4.3 LogitBoost Classifier Results
4.4 Bagging Classifier Results
4.5 J48 Classifier Result
5 Discussion and Results
5.1 Time and Accuracy Performance
5.2 VANET Attack Detection Flowchart
5.3 The Generated Dataset
5.4 Detection's Time and Accuracy Performance
6 Conclusion and Future Work
References
Challenges in Developing a Wireless Sensor Network for an Agricultural Monitoring and Decision System
1 Introduction
2 Relevance of WSNs in the Field of Agriculture Monitoring and Decision Systems
3 Requirements and Constraints
4 Challenges
5 Proposed Approach
5.1 Sensor Selection
5.2 Sensor Node Concept
5.3 Energy Management and Supply Concept
5.4 Data Management
6 Conclusion
References
Author Index

System requirements

Save as PDF Copy link into clipboard

Schweitzer Fachinformationen

Selected Papers from the 12th International Networking Conference

Description

More details

Other editions

Additional editions

Content

System requirements