Wireless Communication Security

Cover
Title Page
Copyright Page
Contents
Preface
Chapter 1 M2M in 5G Cellular Networks: Challenges, Proposed Solutions, and Future Directions
1.1 Introduction
1.2 Literature Survey
1.3 Survey Challenges and Proposed Solutions of M2M
1.3.1 PARCH Overload Problem
1.3.2 Inefficient Radio Resource Utilization and Allocation
1.3.3 M2M Random Access Challenges
1.3.4 Clustering Techniques
1.3.5 QoS Provisioning for M2M Communications
1.3.6 Less Cost and Low Power Device Requirements
1.3.7 Security and Privacy
1.4 Conclusion
References
Chapter 2 MAC Layer Protocol for Wireless Security
2.1 Introduction
2.2 MAC Layer
2.2.1 Centralized Control
2.2.2 Deterministic Access
2.2.3 Non-Deterministic Access
2.3 Functions of the MAC Layer
2.4 MAC Layer Protocol
2.4.1 Random Access Protocol
2.4.2 Controlled Access Protocols
2.4.3 Channelization
2.5 MAC Address
2.6 Conclusion and Future Scope
References
Chapter 3 Enhanced Image Security Through Hybrid Approach: Protect Your Copyright Over Digital Images
3.1 Introduction
3.2 Literature Review
3.3 Design Issues
3.3.1 Robustness Against Various Attack Conditions
3.3.2 Distortion and Visual Quality
3.3.3 Working Domain
3.3.4 Human Visual System (HVS)
3.3.5 The Trade-Off between Robustness and Imperceptibility
3.3.6 Computational Cost
3.4 A Secure Grayscale Image Watermarking Based on DWT-SVD
3.5 Experimental Results
3.6 Conclusion
References
Chapter 4 Quantum Computing
4.1 Introduction
4.2 A Brief History of Quantum Computing
4.3 Postulate of Quantum Mechanics
4.4 Polarization and Entanglement
4.5 Applications and Advancements
4.5.1 Cryptography, Teleportation and Communication Networks
4.5.2 Quantum Computing and Memories
4.5.3 Satellite Communication Based on Quantum Computing
4.5.4 Machine Learning & Artificial Intelligence
4.6 Optical Quantum Computing
4.7 Experimental Realisation of Quantum Computer
4.7.1 Hetero-Polymers
4.7.2 Ion Traps
4.7.3 Quantum Electrodynamics Cavity
4.7.4 Quantum Dots
4.8 Challenges of Quantum Computing
4.9 Conclusion and Future Scope
References
Chapter 5 Feature Engineering for Flow-Based IDS
5.1 Introduction
5.1.1 Intrusion Detection System
5.1.2 IDS Classification
5.2 IP Flows
5.2.1 The Architecture of Flow-Based IDS
5.2.2 Wireless IDS Designed Using Flow-Based Approach
5.2.3 Comparison of Flow- and Packet-Based IDS
5.3 Feature Engineering
5.3.1 Curse of Dimensionality
5.3.2 Feature Selection
5.3.3 Feature Categorization
5.4 Classification of Feature Selection Technique
5.4.1 The Wrapper, Filter, and Embedded Feature Selection
5.4.2 Correlation, Consistency, and PCA-Based Feature Selection
5.4.3 Similarity, Information Theoretical, Sparse Learning, and Statistical-Based Feature Selection
5.4.4 Univariate and Multivariate Feature Selection
5.5 Tools and Library for Feature Selection
5.6 Literature Review on Feature Selection in Flow-Based IDS
5.7 Challenges and Future Scope
5.8 Conclusions
Acknowledgement
References
Chapter 6 Environmental Aware Thermal (EAT) Routing Protocol for Wireless Sensor Networks
6.1 Introduction
6.1.1 Single Path Routing Protocol
6.1.2 Multipath Routing Protocol
6.1.3 Environmental Influence on WSN
6.2 Motivation Behind the Work
6.3 Novelty of This Work
6.4 Related Works
6.5 Proposed Environmental Aware Thermal (EAT) Routing Protocol
6.5.1 Sensor Node Environmental Modeling and Analysis
6.5.2 Single Node Environmental Influence Modeling
6.5.3 Multiple Node Modeling
6.5.4 Sensor Node Surrounding Temperature Field
6.5.5 Sensor Node Remaining Energy Calculation
6.5.6 Delay Modeling
6.6 Simulation Parameters
6.7 Results and Discussion
6.7.1 Temperature Influence on Network
6.7.2 Power Consumption
6.7.3 Lifetime Analysis
6.7.4 Delay Analysis
6.8 Conclusion
References
Chapter 7 A Comprehensive Study of Intrusion Detection and Prevention Systems
7.1 Introduction
7.1.1 Intrusion and Detection
7.1.2 Some Basic Definitions
7.1.3 Intrusion Detection and Prevention System
7.1.4 Need for IDPS: More Than Ever
7.1.5 Introduction to Alarms
7.1.6 Components of an IDPS
7.2 Configuring IDPS
7.2.1 Network Architecture of IDPS
7.2.2 A Glance at Common Types
7.2.2.1 Network-Based IDS
7.2.2.2 Host-Based IDS
7.2.3 Intrusion Detection Techniques
7.2.3.1 Conventional Techniques
7.2.3.2 Machine Learning-Based and Hybrid Techniques
7.2.4 Three Considerations
7.2.4.1 Location of Sensors
7.2.4.2 Security Capabilities
7.2.4.3 Management Capabilities
7.2.5 Administrators’ Functions
7.2.5.1 Deployment
7.2.5.2 Testing
7.2.5.3 Security Consideration of IDPS
7.2.5.4 Regular Backups and Monitoring
7.2.6 Types of Events Detected
7.2.7 Role of State in Network Security
7.3 Literature Review
7.4 Conclusion
References
Chapter 8 Hardware Devices Integration With IoT
8.1 Introduction
8.2 Literature Review
8.3 Component Description
8.3.1 Arduino Board UNO
8.3.2 Raspberry Pi
8.4 Case Studies
8.4.1 Ultrasonic Sensor
8.4.2 Temperature and Humidity Sensor
8.4.3 Weather Monitoring System Using Raspberry Pi
8.5 Drawbacks of Arduino and Raspberry Pi
8.6 Challenges in IoT
8.6.1 Design Challenges
8.6.2 Security Challenges
8.6.3 Development Challenges
8.7 Conclusion
8.8 Annexures
References
Additional Resources
Chapter 9 Depth Analysis On DoS & DDoS Attacks
9.1 Introduction
9.1.1 Objective and Motivation
9.1.2 Symptoms and Manifestations
9.2 Literature Survey
9.3 Timeline of DoS and DDoS Attacks
9.4 Evolution of Denial of Service (DoS) & Distributed Denial of Service (DDoS)
9.5 DDoS Attacks: A Taxonomic Classification
9.5.1 Classification Based on Degree of Automation
9.5.2 Classification Based on Exploited Vulnerability
9.5.3 Classification Based on Rate Dynamics of Attacks
9.5.4 Classification Based on Impact
9.6 Transmission Control Protocol
9.6.1 TCP Three-Way Handshake
9.7 User Datagram Protocol
9.7.1 UDP Header
9.8 Types of DDoS Attacks
9.8.1 TCP SYN Flooding Attack
9.8.2 UDP Flooding Attack
9.8.3 Smurf Attack
9.8.4 Ping of Death Attack
9.8.5 HTTP Flooding Attack
9.9 Impact of DoS/DDoS on Various Areas
9.9.1 DoS/DDoS Attacks on VoIP Networks Using SIP
9.9.2 DoS/DDoS Attacks on VANET
9.9.3 DoS/DDoS Attacks on Smart Grid System
9.9.4 DoS/DDoS Attacks in IoT-Based Devices
9.10 Countermeasures to DDoS Attack
9.10.1 Prevent Being Agent/Secondary Target
9.10.2 Detect and Neutralize Attacker
9.10.3 Potential Threats Detection/Prevention
9.10.4 DDoS Attacks and How to Avoid Them
9.10.5 Deflect Attack
9.10.6 Post-Attack Forensics
9.11 Conclusion
9.12 Future Scope
References
Chapter 10 SQL Injection Attack on Database System
10.1 Introduction
10.1.1 Types of Vulnerabilities
10.1.2 Types of SQL Injection Attack
10.1.3 Impact of SQL Injection Attack
10.2 Objective and Motivation
10.3 Process of SQL Injection Attack
10.4 Related Work
10.5 Literature Review
10.6 Implementation of the SQL Injection Attack
10.6.1 Access the Database Using the 1=1 SQL Injection Statement
10.6.2 Access the Database Using the ““=’’’’ SQL Injection Statement
10.6.3 Access and Upgrade the Database by Using Batch SQL Injection Statement
10.7 Detection of SQL Injection Attack
10.8 Prevention/Mitigation from SQL Injection Attack
10.9 Conclusion
References
Chapter 11 Machine Learning Techniques for Face Authentication System for Security Purposes
11.1 Introduction
11.2 Face Recognition System (FRS) in Security
11.3 Theory
11.3.1 Neural Networks
11.3.2 Convolutional Neural Network (CNN)
11.3.3 K-Nearest Neighbors (KNN)
11.3.4 Support Vector Machine (SVM)
11.3.5 Logistic Regression (LR)
11.3.6 Naive Bayes (NB)
11.3.7 Decision Tree (DT)
11.4 Experimental Methodology
11.4.1 Dataset
11.4.2 Convolutional Neural Network (CNN)
11.4.3 Other Machine Learning Techniques
11.5 Results
11.6 Conclusion
References
Chapter 12 Estimation of Computation Time for Software-Defined Networking-Based Data Traffic Offloading System in Heterogeneous Network
12.1 Introduction
12.1.1 Motivation
12.1.2 Objective
12.1.3 The Main Contributions of This Chapter
12.2 Analysis of SDN-TOS Mechanism
12.2.1 Key Components of SDN-TOS
12.2.2 LTE/Wi-Fi in a Heterogeneous Network (HetNet)
12.2.3 Centralized SDN Controller
12.2.4 Key Design Considerations of SDN-TOS
12.2.4.1 The System Architecture
12.2.4.2 Mininet Wi-Fi Emulated Networks
12.2.4.3 Software-Defined Networking Controller
12.3 Materials and Methods
12.3.1 Estimating Time Consumption for Mininet Wi-Fi Emulator
12.3.1.1 Total Time Consumption for Offloading the Data Traffic by Service Provider
12.3.1.2 Total Time Consumption of Mininet Wi-Fi Emulator (Time Consumption for Both LTE and Wi-Fi Network)
12.3.2 Estimating Time Consumption for SDN Controller
12.3.2.1 Total Response Time for Sub-Controller
12.3.2.2 Total Response Time for The Total Process of Centralized SDN Controller
12.3.3 Estimating Total Time Consumption for SDN-Based Traffic Offloading System (SDN-TOS)
12.4 Simulation Results
12.4.1 Effect of Computational Data Traffic θI on Total Response Time (TA)/Service Provider A and CSP Approach
12.4.2 Effect of Computational Data Traffic θI on Total Response Time (TA) for Different Service Providers/Service Provider A and Service Provider B
12.5 Discussion
12.6 Conclusion
References
About the Editors
Index
EULA