Data Communication and Networks

Name: Data Communication and Networks | Proceedings of GUCON 2019
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Proceedings of GUCON 2019

Lakhmi C. Jain George A. Tsihrintzis Valentina E. Balas Dilip Kumar Sharma(Editor)

Springer (Publisher)

1st Edition

Published on 25. October 2019

XXI, 342 pages

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978-981-15-0132-6 (ISBN)

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Valentina E. Balas is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu" University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 300 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation.
She is the Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE), member in Editorial Board member of several national and international journals and is evaluator expert for national, international projects and PhD Thesis. Dr. Balas is the director of Intelligent Systems Research Centre in Aurel Vlaicu Universityof Arad and Director of the Department of International Relations, Programs and Projects in the same university.
She served as General Chair of the International Workshop Soft Computing and Applications (SOFA) in eight editions 2005-2018 held in Romania and Hungary.
Dr. Balas participated in many international conferences as Organizer, Honorary Chair, Session Chair and member in Steering, Advisory or International Program Committees.
She is a member of EUSFLAT, SIAM and a Senior Member IEEE, member in TC - Fuzzy Systems (IEEE CIS), member in TC - Emergent Technologies (IEEE CIS), member in TC - Soft Computing (IEEE SMCS). Dr. Balas was past Vice-president (Awards) of IFSA International Fuzzy Systems Association Council (2013-2015) and is a Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), - A Multidisciplinary Academic Body, India.
She is also director of the Department ofInternational Relations, Programs and Projects and head of the Intelligent Systems Research Centre in Aurel Vlaicu University of Arad, Romania. Dr. Lakhmi C. Jain, PhD, ME, BE(Hons), Fellow (Engineers Australia) is with the University of Technology Sydney, Australia, University of Canberra, Australia and Liverpool Hope University, UK.Professor Jain founded the KES International for providing a professional community the opportunities for publications, knowledge exchange, cooperation and teaming. Involving around 5,000 researchers drawn from universities and companies world-wide, KES facilitates international cooperation and generate synergy in teaching and research. KES regularly provides networking opportunities for professional community through one of the largest conferences of its kind in the area of KES. www.kesinternational.org His interests focus on the artificial intelligence paradigms and their applications in complex systems, security, e-education, e-healthcare, unmanned air vehicles and intelligent agents. George A. Tsihrintzis is Full Professor and Head of the Department of Informatics in the University of Piraeus, Greece. He received the Diploma of Electrical Engineer from the National Technical University of Athens, Greece (with honors) and the M.Sc. and Ph.D. degrees in Electrical Engineering from Northeastern University, Boston, Massachusetts, USA. His current research interests include Pattern Recognition, Machine Learning, Decision Theory, and Statistical Signal Processing and their applications in Multimedia Interactive Services, User Modeling, Knowledge-based Software Systems, Human-Computer Interaction and Information Retrieval. He has authored or co-authored over 300 research publications in these areas, which include 5 monographs and 14 edited volumes. He is the Co-Founder and Co-Editor (along with Profs. Maria Virvou and Lakhmi C. Jain) of the Springer Series onLearning and Analytics in Intelligent Systems, the Editor-in-Chief of Intelligent Decision Technologies (IOS Press) and the International Journal of Computational Intelligence Studies (Inderscience) and a member of the editorial boards of 8 additional journals. Prof. Dilip Kumar Sharma is a Associate Dean (Academic Collaboration) and Professor at Department of Computer Engineering and Applications in Institute of Engineering and Technology, GLA University, Mathura, India. He is also Vice Chairman of IEEE Uttar Pradesh Section and IEEE Computer Society Chapter of IEEE Uttar Pradesh Section for the 2019. He has delivered/chaired more than 70 invited talks/guest lectures and chaired the technical sessions at various institutes/conferences. He has attended 32 short term courses/workshops/seminars organized by various esteemed origination and edited two books and worked as Guest Editor of International Journals of repute. He has organized more than 12IEEE/CSI International/National Conferences and Workshops with the capacity of General Chair, Co-General Chair, Convener and co-convener etc. He has published more than 85 research papers in International Journals /Conferences of repute indexed in SCI, Scopus and DBLP databases and participated in 50 International/National conferences. He is Conferred 2018 Outstanding Section Volunteer Award by IEEE Uttar Pradesh Section and also Significant Contribution Award by Computer Society of India in 2012, 2013, 2014 & 2017. His research interests are Web Information Retrieval, Data Analytics and Software Engineering. He has guided 2 PhD and 20 MTech Thesis, projects and various seminars undertaken by the students of undergraduate/postgraduate and he is currently guiding 5 PhDs and numbers of MTech /Thesis, Seminars and BTech Projects.

Content

Intro
GUCON 2019 Organization
Chief Patrons
Patron
General Chair
Conference Chair and Chairman, Oversight Committee
Conference Secretary
Technical Chairs
Publication Chairs
Honorary Chairs
Honorary Co-Chairs
Springer/GUCON Liaison
International Advisory Board
Technical Program Committee and Reviewers
Preface
Contents
About the Editors
An ECC with Probable Secure and Efficient Approach on Noncommutative Cryptography
1 Introduction
1.1 Related Work and Associated Issues
1.2 Motivation and Our Contribution
1.3 Manuscript Organization
2 Preliminaries
2.1 Noncommutative Assumptions on mathbbZ Modular Strategies
2.2 The Basis of Noncommutative Cryptographic Algorithm
2.3 Monomials Used in mathbbZ Modular Method
3 The Preamble to Dihedral Orders
3.1 Dihedral Orders 6
3.2 Dihedral Order 8
4 The Investigation into Length Based Attacks and Its Proposal
5 Conclusion and Future Scope
References
Probability Prediction Using Improved Method in Delay-Tolerant Network
1 Introduction
1.1 Introduction
1.2 Routing Protocols
2 Literature Work
2.1 Literature Review
3 Work
3.1 Proposed Work
3.2 Proposed Algorithm
4 Performance Metrics
4.1 Delivery Probability
4.2 Overhead Ratio
5 Results
5.1 Results in Tabular Form
6 Conclusion and Future Work
References
Taxonomy of Cyberbullying Detection and Prediction Techniques in Online Social Networks
1 Introduction
2 Background
2.1 Statistics of Technology Utilization
2.2 Cyberbullying Definition, Types, Popularity in OSN and Outcome
3 Cyberbullying Detecting Techniques
3.1 Cyberbullying Detection Techniques Using Binary Classification
3.2 Detection Techniques Using Multiclass Classification
4 Cyberbullying Prediction Techniques
5 Taxonomy of Cyberbullying Detection and Prediction Techniques
6 Analysis
7 Conclusion
References
A Formal Modeling Approach for QOS in MQTT Protocol
1 Introduction
2 Related Works
3 Formal Modeling
3.1 SPIN Model Checker and PROMELA
3.2 Quality of Service (QoS)
3.3 Formal Modeling of Quality of Service Levels
3.4 Formal Verification
4 Conclusion and Future Works
References
Prediction of Gene Selection Features Using Improved Multi-objective Spotted Hyena Optimization Algorithm
1 Introduction
2 Prior Research Studies
3 Research Approach
4 Results and Discussion
5 Conclusions
References
A Compressive Family Based Efficient Trust Routing Protocol (C-FETRP) for Maximizing the Lifetime of WSN
1 Introduction
2 Proposed Work
2.1 Contributions of the Work
2.2 Compressive Family Based Efficient Trust Routing Protocol
2.3 Energy Consumption Model
2.4 Energy Consumption Model for Proposed Algorithm
3 Performance Analysis
4 Conclusion
References
An Adaptive Genetic Co-relation Node Optimization Routing for Wireless Sensor Network
1 Introduction
1.1 Contributions of the Paper
2 Related Work
3 Network Modelling
3.1 Adaptive Energy Rate Allocation
4 Adaptive Genetic Corelation Node Optimization
5 Genetic Corelation Node Optimization Routing
5.1 RREP Fault Diagnosis Routing Vector at Destination
6 Experimental Study
6.1 Simulation Results
7 Conclusion
References
A Novel Hybrid User Authentication Scheme Using Cognitive Ambiguous Illusion Images
1 Introduction
2 Background Study and Related Work
3 Proposed Method
3.1 Register
3.2 Login
3.3 Example
4 Method Analysis
4.1 Brute-Force Attack
4.2 Shoulder Surfing Attack
4.3 Spyware Attack
4.4 Intersection Attack
5 User Study
6 Conclusion
7 Future Work
References
Fault Classification in a Transmission Line Using Levenberg-Marquardt Algorithm Based Artificial Neural Network
1 Introduction
2 Methodology
2.1 System Modeling and Fault Simulation
2.2 Data Sampling
2.3 Neural Network Training for Classification
3 Results and Discussions
3.1 Simulation Results for Fault Impedance Variations
3.2 Simulation Results for Fault Location Variations
3.3 ANN Classifiers Results for Fault Impedance Variations
3.4 ANN Classifier Results for Fault Location Variations
4 Conclusion
References
IoT Botnet: The Largest Threat to the IoT Network
1 Introduction
2 Background
2.1 Recent Attacks
2.2 IoT Attack Vectors
3 Overview of IoT Botnet
3.1 IoT Botnet Evolution
3.2 IoT Botnet Architecture
3.3 IoT Botnet Life Cycle
3.4 Traditional Botnet Versus IoT Botnet
4 Case Study: Mirai Botnet
4.1 Mirai Botnet Principle and Working
4.2 Variation of Mirai Botnet
5 IoT Botnet Detection Techniques
5.1 Host-Based Detection
5.2 Network-Based Detection
6 Discussion and Analysis of Different Detection Techniques
7 Open Research: Need for Prevention Mechanism to Deal with IoT Botnet
8 Conclusion
References
Building a Trustworthy Ethical Approach to Cloud Computing
1 Introduction
1.1 Benefits for Cloud Providers
1.2 Benefits for Cloud Consumers
1.3 Benefits to the End Users
2 Cloud Computing Model Incorporating Ethics and Trust on E-commerce (ETCM)
2.1 Organizational Ethics Practices
2.2 Regular Ethical Audits to Verify the Ethical Practices
3 To Deduce Impact of Cloud Computing to the E-commerce Sector
3.1 Analysis of the Data Collected
3.2 Establishing Relationship Between Ethics and Trust in Cloud
3.3 Impact of Cloud Computing to Ecommerce Industry
4 Future Work
5 Conclusion
References
Weighted Frequent Itemset Mining Using OWA on Uncertain Transactional Database
1 Introduction
2 Related Works
3 Problem Statement and Solution
3.1 Calculation of Weight of an Itemset(X) Using Average
3.2 Calculation of Weight of an Itemset X Using OWA [15-18]
3.3 Calculation of Expected Support [4, 5]
3.4 Expected Weighted Support Using Average
3.5 Weighted Frequent Itemset Using Average
3.6 Expected Weighted Support Using OWA
3.7 Weighted Frequent Itemset Using OWA
4 WFIMOWA Algorithm
5 Example
6 Result Analysis
7 Conclusion and Future Directions
References
Design of Customer Information Management System
1 Introduction
1.1 Overall Description
1.2 Purpose
1.3 Motivations and Scope
2 Proposed Model
2.1 System Environment
2.2 System Architecture
2.3 Methodology, Tools, and Techniques
3 Implementation
4 Results and Discussions
5 Conclusion
References
Modeling Machine Learning Agent for Interaction Conversational System Using Max Entropy Approach in Natural Language Processing
1 Introduction
1.1 Maximum Entropy Overview
1.2 Modeling of Maximum Entropy
1.3 Training Data Set
1.4 NER (Named Entity Recognition)
1.5 Sentence Detection Model
1.6 POS Tagging
2 Literature Review
2.1 Problem Statement
3 Proposed Solution
3.1 Sentence Detection Model Implementation
3.2 POS Tagger Model Implementation Steps
3.3 NER (Named Entity Recognition) Model Implementation
3.4 Document Categorization Implementation
3.5 Sentiment Analyzer
3.6 Call Center Agent Implementation
4 Result and Discussion
5 Conclusion
6 Future Work
References
Analysis of Energy Consumption in Dynamic Mobile Ad Hoc Networks
1 Introduction
2 Literature Review
3 Methodology and Experimental Analysis
3.1 Energy Consumption in Transmit Mode
3.2 Energy Consumption in Receive Mode
3.3 Cumulative Energy Consumption
4 Conclusion
References
Improved ITCA Method to Mitigate Network-Layer Attack in MANET
1 Introduction
2 Literature Survey
3 Problem Definition
4 Proposed Framework, Improved ITCA
4.1 Improved Attack Detection and Malicious Node Isolation
4.2 Node Reliability:Trust Value (trustValN)
5 Conclusion
References
Employing Machine Learning Models to Solve Uniform Random 3-SAT
1 Introduction
2 NP
3 SAT Problem
4 Dataset and Features
4.1 Features
4.2 Dataset
5 Training and Testing
6 Implementation
7 Quantifying Results
8 Discussion and Inference
9 Future Scope
References
A Design and an Implementation of Forecast Sentence Extractor
1 Introduction
2 Related Works
2.1 Natural Language Processing
2.2 Machine Learning APIs
3 Proposed System
4 Experimental Studies
4.1 Classification Parameters
4.2 Training and Testing Data
4.3 Experimental Results
5 Conclusion and Future Works
References
Low Complexity Antenna Selection Scheme for Spatially Correlated Multiple Antenna Cognitive Radios
1 Introduction
2 System Model
3 Performance Analysis
4 Simulation Results and Discussion
4.1 Probability of Detection
4.2 Effect of SNR on Sensing Performance
5 Conclusions
References
Fair Comparative Analysis of Opportunistic Routing Protocols: An Empirical Study
1 Introduction
1.1 Opportunistic Routing Protocols
2 Simulation Setup and Description
2.1 ONE Simulator
2.2 Mobility Models and Real-World Traces
2.3 Simulation Parameters
3 Simulation Results
4 Conclusion and Future Directions
References
Distributed Optimal Power Allocation Using Game Theory in Underlay Cognitive Radios
1 Introduction
2 System Model
3 Problem Formulation and Solution Concept
3.1 Existence of Nash Equilibrium (NE)
3.2 Uniqueness of Nash Equilibrium
3.3 Potential Game
3.4 Normalized Nash Equilibrium
4 Numerical Results
4.1 Without Battery Leakage
4.2 With Battery Leakage
5 Conclusions
References
Relay Selection-Based Physical-Layer Security Enhancement in Cooperative Wireless Network
1 Introduction
1.1 MIMO Diversity
1.2 Diversity Through Multiuser
1.3 Cooperative Diversity System
2 Prior Related Research
3 Proposed Methodology
3.1 Double Threshold-Based Relay Selection Scheme
3.2 Optimal Relay Selection Schemes
4 Performance Evaluation and Simulation Results
5 Conclusion
References
Analysis of Performance of FSO Link During the Months of Monsoon in Delhi, India
1 Introduction
2 System Layout
3 Degradation of Performance of FSO Link Due to Effect of Rain
4 Simulation Results
5 Conclusion
References
Pectoral Muscle and Breast Density Segmentation Using Modified Region Growing and K-Means Clustering Algorithm
1 Introduction
2 Related Work
2.1 Image Segmentation
2.2 Pectoral Muscle Segment
2.3 Breast Density Segmentation
3 Proposed Technique
3.1 Removal of Background
3.2 Suppression of Pectoral Muscle
3.3 Image Enhancement
3.4 K-Means Clustering
4 Results and Discussions
5 Conclusion
References
Author Index

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Data Communication and Networks

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