Wireless communication security mobile and network security protocols
WIRELESS COMMUNICATION SECURITY Presenting the concepts and advances of wireless communication security, this volume, written and edited by a global team of experts, also goes into the practical applications for the engineer, student, and other industry professionals. Covering a broad range of topic...
| Otros Autores: | , , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
John Wiley & Sons, Inc
[2023]
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009724221106719 |
Tabla de Contenidos:
- 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.
