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Security and Privacy in 6G Communication Technology

Edited by Parita Jain, Puneet Kumar Aggarwal, Mandeep Singh, Sushil Kumar Singh, and Amit Singhal
Copyright: 2025   |   Expected Pub Date:2025//
ISBN: 9781394311002  |  Hardcover  |  
370 pages
Price: $225 USD
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One Line Description
Future-proof your knowledge and expertise in telecommunications with this essential guide, which provides a comprehensive analysis of the critical security and privacy challenges in the transition to 6G communication.

Audience
Telecommunications engineers, network architects, cybersecurity analysts, information security professionals, researchers in wireless communication, and students looking to the future of cybersecurity

Description
The advancement from 5G to 6G communication represents a quantum leap in wireless technology, promising unprecedented speeds, ultra-low latency, and ubiquitous connectivity. As the industry embarks on this journey, it encounters a host of technical challenges, particularly in ensuring the security and privacy of data transmitted across these networks. The interconnected nature of 6G systems, combined with the proliferation of Internet of Things devices and the sheer volume of data exchanged, creates a fertile ground for cyber threats and privacy breaches.
This book delves into these intricate technical challenges, offering a comprehensive analysis of the security and privacy implications of 6G communication. We explore the vulnerabilities inherent in 6G networks, ranging from potential weaknesses in network protocols to the risk of unauthorized access to sensitive data. Through detailed examination and real-world examples, we provide insights into cutting-edge security measures and privacy-preserving techniques tailored specifically to the unique characteristics of 6G systems. By addressing these challenges head-on, we aim to empower engineers, researchers, and policymakers with the knowledge and tools necessary to build resilient and secure 6G networks that safeguard user privacy and data integrity in an increasingly interconnected world. By dissecting the complexities of 6G architecture and protocols, the book equips readers with a nuanced understanding of the unique security and privacy considerations that must be addressed in the design and implementation of these transformative systems.

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Author / Editor Details
Parita Jain, PhD is an Assistant Professor of Research and Assistant Dean of Academics in the Department of Computer Science and Engineering at the KIET Group of Institutions. She has authored numerous research papers published in reputable national and international conferences and journals, covering diverse topics such as agile software development, machine learning, and quality assurance in software engineering. She brings a wealth of expertise in areas such as software engineering, artificial intelligence, machine learning, and data science, fostering an environment conducive to learning, growth, and innovation.

Puneet Kumar Aggarwal, PhD is an Associate Professor at ABES Engineering College with more than a decade of experience. His research interests and scholarly contributions, showcased through numerous publications in prestigious conferences and journals, demonstrate his commitment to advancing the field of IT. His career is marked by his dedication to quality education, with extensive research contributions in cybersecurity, machine learning, and mobile applications.

Mandeep Singh is a dedicated professional with more than eight years of experience in academia. With more than 25 publications to his credit, including 15 academic papers and ten book chapters, he has established himself as a prolific researcher. His contributions span various domains, including AI, machine learning, blockchain, and Internet of Things.

Sushil Kumar Singh, PhD is an Associate Professor in the Department of Computer Engineering at Marwadi University with more than 12 years of experience teaching in the field of computer science. He has published four books and many high-quality papers in international journals and conferences. His research interests include blockchain, artificial intelligence, big data, Internet of Things, smart city security, and cyber-physical systems.

Amit Singhal is a professor and head of the Department of Computer Science and Engineering at Raj Kumar Goel Institute of Technology, Ghaziabad. With over 22 years of academic experience, his research focuses on computer networks, cybersecurity, AI, blockchain, big data, and IoT. He has published multiple books and has authored numerous research papers in high-impact journals and international conferences. His contributions extend to patents on IoT-driven intelligent monitoring systems and cloud-based public
transport monitoring. He also serves as an editor and reviewer for leading journals.

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Table of Contents
Preface
1. A Comprehensive Study of Security and Privacy Issues of 6G Wireless Communications Networks
Pawan Kumar, Mandeep Singh, JaiShree Jain, Anu Chaudhary and Shashank Sahu
1.1 Introduction
1.1.1 History of Wireless Communication
1.1.2 Overview of 6G Networks
1.1.2.1 Advancement in 6G Technology
1.1.2.2 Importance of Developing 6G Technology
1.1.3 Features of 6G Networks
1.1.4 Applications of 6G Networks
1.1.5 Disadvantages of 6G Networks
1.1.6 Challenges of 6G Networks
1.2 Security Evolution of Communication Networks
1.3 Privacy and Security Issues with 6G Networks
1.3.1 Privacy Challenges in 6G Networks
1.3.2 Security Challenges in 6G Networks
1.4 Proposed Security Solution for 6G Networks
1.4.1 Distributed and Scalable AI/ML Security
1.4.2 Distributed Ledger Technology (DLT)
1.4.3 Quantum Security
1.4.4 Physical Layer Security (PLS)
1.5 Conclusion
References
2. Key Security Issues and Solutions in 6G Communications
Abhishek Pandit and Krupali Gosai
2.1 Introduction
2.1.1 Security Considerations for 6G Communication
2.1.2 Survey Objectives
2.1.3 Overview of 6G Communication Paradigm
2.1.3.1 Evolution from 5G to 6G
2.1.3.2 Key Features of 6G Networks
2.1.4 Emerging Technologies in 6G
2.2 Security Challenges for 6G Communications
2.2.1 Security Implications
2.2.2 AI and Machine Learning Integration: Security Concerns
2.2.3 Network Slicing: Isolation and Security Issues
2.2.4 Security Implications with Ultra-Low Latency
2.2.5 Terahertz Communications
2.2.6 Unique Security Concerns
2.2.7 Integration of Internet of Things and Edge Devices
2.2.8 Expanded Attack Surface and Privacy Concerns
2.2.9 User Data and Anonymity
2.2.10 Quantum Computing Threats
2.3 Legacy Security Concepts in 6G
2.3.1 Confidentiality, Integrity, and Availability
2.3.2 Authentication
2.3.3 Access Control
2.4 6G Security Innovations
2.4.1 AI Integration
2.4.2 Quantum Computing Impact
2.4.3 Federated Learning Role
2.5 Threat Models in 6G Communication
2.5.1 Threat-Countering Techniques in 6G Communication
2.5.1.1 Cryptographic Methods
2.5.1.2 Quantum-Resistant Cryptography
2.5.1.3 Homomorphic Encryption
2.5.1.4 Entity Attributes
2.5.1.5 Biometric Authentication
2.5.1.6 Device Fingerprinting
2.5.1.7 Intrusion Detection Systems (IDSs)
2.6 Authentication Techniques in 6G Communication
2.6.1 Handover Authentication
2.6.2 Mutual Authentication
2.6.3 Physical Layer
2.6.4 Deniable Authentication
2.6.5 Token-Based Authentication
2.6.6 Authentication Using Certificates
2.6.7 Key Agreement–Based Validation
2.6.8 Multi-Factor Authentication
2.7 Future Directions
2.7.1 Improving AI Security in 6G and Developing Quantum-Safe Protocols
2.7.2 Advancing Federated Learning for Privacy-Preserving Security
2.8 Conclusion
References
3. Strategies for Ensuring Security and Privacy in 6G Networks
Azamat Ali and Mikhai Tyurkin
3.1 Introduction
3.2 Security Challenges in 6G Networks
3.2.1 The Expanding Threat Landscape
3.2.2 Securing Massive Data Volumes
3.2.3 Challenges in Network Infrastructure
3.2.4 Securing AI-Driven Systems
3.3 Privacy Preservation in 6G Networks
3.3.1 Privacy Challenges in Hyper-Connected Ecosystems
3.3.2 Privacy in Massive IoT and Sensor Networks
3.3.3 Managing Privacy in AI-Powered Applications
3.4 Emerging Technologies for Enhancing Security and Privacy in 6G
3.4.1 Next-Generation Encryption Techniques
3.4.2 Decentralized Trust Models
3.4.3 Privacy-Enhancing Technologies (PETs)
3.5 Regulatory Frameworks and Standards for 6G Security and Privacy
3.5.1 Overview of Existing Regulations
3.5.2 New Standards for 6G Security and Privacy
3.5.3 Compliance and Accountability in 6G Networks
3.6 Case Studies: Addressing Security and Privacy in 6G Networks
3.6.1 Case Study 1: Securing IoT Devices in a 6G Network
3.6.2 Case Study 2: Privacy Preservation in AI-Driven Smart Cities
3.6.3 Case Study 3: Blockchain-Based Security Solutions in 6G
3.7 Future Directions and Opportunities
3.7.1 Emerging Threats and Security Challenges in 6G
3.7.2 Innovations in Privacy-Preserving Technologies
3.7.3 Collaborative Approaches to Security and Privacy in 6G
3.8 Conclusion
References
4. Enhancing Security and Privacy Frameworks in 6G Networks
Jaishree Jain, Rohit Kumar Goel, Updesh Kumar Jaiswal, Pawan Kumar and Amit Singhal
4.1 Introduction
4.1.1 Challenges in Communication Networks
4.2 AI-Enabled 6G Networks
4.3 Features and Drawbacks of 1G to 5G
4.4 Important Domains for 6G Networks
4.5 Contributions and Issues of Key Technologies with the Main 6G Technologies
4.6 Upcoming Research Issues in 6G Technologies
4.7 Solutions of 6G Technological Issues
4.8 Conclusion
References
5. Adaptive Security Protocols for Dynamic 6G Environments
Pranshu Saxena, Mandeep Singh, Vikas Tyagi and Sanjay Kumar Singh
5.1 Introduction
5.1.1 Emerging Security Challenges in 6G Technology
5.1.2 Need for Adaptive Security
5.2 Overview of Security Challenges in 6G
5.2.1 New Attack Vectors
5.2.2 Privacy and Confidentiality
5.2.3 Latency and Real-Time Processing
5.3 Core Concepts in Adaptive Security Protocols
5.3.1 Multi-Layered Security
5.3.2 Proactive Defense Mechanisms
5.4 Adaptive Security Frameworks for 6G
5.4.1 Self-Healing Networks
5.4.2 Decentralized Security Architectures
5.4.3 Context-Aware Security
5.4.4 Zero-Trust Model
5.5 Implementation of Adaptive Security Protocols in 6G
5.5.1 6G-Specific Protocols and Standards
5.5.2 Challenges in Implementation
5.6 Future Directions in Adaptive Security for 6G
5.6.1 AI Evolution and Threat Intelligence
5.6.2 Ethics and Privacy Considerations
5.6.3 Standardization and Global Policies
5.7 Conclusion
References
6. BFL-IoV: Blockchain and Federated Learning for Secure 6G IoV Networks
Praneetha Surapaneni, Sailaja Chigurupati and Sriramulu Bojjagani
6.1 Introduction
6.2 Related Work
6.3 BFL in IoV Environment
6.3.1 Roadblocks and Feasible Solutions
6.3.2 Blockchain
6.3.3 Roadblocks and Feasible Solutions
6.4 Proposed Framework
6.4.1 Collection of Data and Development of Local Models
6.4.2 Transferring Data into the Blockchain Network
6.4.3 Generation of Global Model by Aggregating Local Models
6.5 Simulation
6.6 Results and Discussion
6.6.1 Performance Evaluation of the BFL-IoV Framework
6.6.2 Evaluation against Current Frameworks
6.6.3 Challenges and Limitations
6.6.4 Discussion on Simulation Results
6.7 Conclusion
6.8 Future Directions
References
7. Leveraging Machine Learning for Enhanced 6G Security
Gnanasankaran Natarajan, Elakkiya Elango, Sundaravadivazhagan Balasubramanian
and Rakesh Gnanasekaran
7.1 Introduction
7.1.1 Recognizing 6G Technology
7.1.2 Essential Elements of 6G Technology
7.1.3 6G’s Potential
7.1.4 How Will the 6G Technology Perform
7.2 Implementing an Integrated 6G Security Platform by Combining Standardization and Threat Analysis
7.2.1 Service Availability
7.2.2 Privacy and Data Protection
7.2.3 AI and Automation
7.2.4 Network Exposure and API Security
7.2.5 Assurance and Situational Awareness
7.3 Inspiration for New Technological Innovations
7.3.1 When Will 6G Be Released
7.3.2 Addressing the Tasks of 6G Network Technology
7.3.2.1 Technologies Underpinning 6G Realization
7.4 Machine Learning in the Sixth-Generation Wireless Technology Era
7.4.1 Advantages of Machine Learning in 6G
7.4.2 Toward 6G: Imagining Applications of the Next Generation for 2030 and Afterward
7.5 6G Technology’s Future Reach and Its Effects on Business
7.6 Conclusion
References
8. Applications of Machine Learning in Strengthening 6G Security
Gaganjot Kaur, Vineet Shrivastava, Surbhi Bhatia Khan and Anshu Singh
8.1 Introduction
8.1.1 Key Features and Innovations
8.1.2 Potential 6G Applications
8.1.3 Emerging Security Challenges in 6G
8.1.4 Challenges in Implementing Robust Security Measures
8.1.5 Regulatory and Compliance Issues
8.2 Role of ML in Aspects of Security Challenges
8.3 Literature Review
8.4 6G Frameworks
8.4.1 Framework Components
8.4.2 Performance Metrics
8.4.3 Regulatory Compliance
8.4.4 Challenges and Limitations
8.5 Conclusion
References
9. Edge Computing and Privacy Challenges in 6G Networks
Mandeep Singh, Aruna Malik, Pawan Kumar, Megha Sharma and Namrata Sukhija
9.1 Introduction
9.1.1 Scope and Objectives of the Chapter
9.2 Edge Computing in 6G Networks
9.2.1 Key Components and Architecture of Edge Computing in 6G
9.2.2 Comparison with Traditional Cloud Computing and Its Limitations in 6G Scenarios
9.3 Privacy Challenges in 6G Edge Computing
9.3.1 Data Ownership and Control Issues at the Network Edge
9.3.2 Vulnerabilities in Data Transmission and Storage
9.3.3 Challenges of User Anonymity, Data Localization, and Regulatory Compliance
9.3.4 Threats Related to Data Aggregation and AI/ML Processing at the Edge
9.4 Security Threats in Edge Computing for 6G Networks
9.4.1 Network and Device Vulnerability 6G Specific
9.4.2 Threat Vectors: Physical Attacks, Network Attacks, and Data Tampering
9.4.3 Security Risks Associated with Decentralized and Heterogeneous Nodes
9.4.4 Emerging Malware and Cybersecurity Threats in Edge Environments
9.5 Innovations in Privacy and Security for Edge Computing in 6G
9.5.1 Privacy-Preserving Mechanisms
9.5.2 Advanced Security Protocols
9.5.3 AI and ML Applications for Privacy and Security
9.6 Future Directions and Open Research Challenges in 6G Edge Computing
9.6.1 Potential for Cross-Layer Security Frameworks in 6G Edge Computing
9.6.2 Balancing Privacy with Performance: Trade-Offs and Optimizations
9.6.3 Exploring Quantum-Resistant Algorithms for Edge Security in 6G
9.6.4 Opportunities for Standardization in 6G Edge Computing Privacy and Security
9.7 Conclusion
Bibliography
10. Resilient Security Architectures for 6G-Enabled Smart Cities
Bikash Baruah, Shivangi Nigam and Apeksha Koul
10.1 Introduction
10.2 Resilient Security Architectures for 6G-Enabled Smart Cities
10.2.1 AI-Powered Security Architecture for 6G-Enabled Smart Cities
10.2.1.1 Data Layer
10.2.1.2 AI Processing Layer
10.2.1.3 Security Response Layer
10.2.1.4 Monitoring and Feedback Layer
10.2.1.5 Communication Layer
10.2.2 Quantum-Resistant Security Architecture for 6G-Enabled Smart Cities
10.2.2.1 Data Layer
10.2.2.2 Quantum-Safe Cryptographic Algorithms
10.2.2.3 Quantum Key Distribution (QKD)
10.2.2.4 Quantum-Resistant Public Key Infrastructure (PKI)
10.2.2.5 Quantum-Resistant Data Storage and Access Control
10.2.2.6 Post-Quantum Secure Communication Protocols
10.2.3 Blockchain-Based Security Architecture for 6G-Enabled Smart Cities
10.2.3.1 Data Layer
10.2.3.2 Decentralized Blockchain Network
10.2.3.3 Identity and Access Management (IAM)
10.2.3.4 Smart Contracts
10.2.3.5 Data Encryption and Privacy
10.2.3.6 Secure Data Exchange and Communication
10.2.3.7 Secure Threat Monitoring
10.2.3.8 Application Layer
10.2.4 Adaptive Security Architecture for 6G-Enabled Smart Cities
10.2.4.1 Data Sources and Systems
10.2.4.2 Predictive Analytics
10.2.4.3 Proactive Security
10.2.4.4 Responsive Security
10.2.4.5 Continuous Monitoring
10.2.4.6 Orchestration and Automation
10.3 Challenges and Future Scope
10.3.1 Integration of AI and Machine Learning
10.3.2 Blockchain for Data Integrity
10.3.3 Decentralized Security Models
10.3.4 Quantum-Resistant Cryptography
10.3.5 Security Automation and Orchestration
10.3.6 Interoperability Across Multiple Domains
10.3.7 Human-Centric Security Solutions
10.4 Conclusion
References
11. Innovative Solutions for User Privacy in 6G Networks
Manisha Koranga, Tarun Kumar, Richa Pandey and Sujata Negi Thakur
11.1 Introduction
11.2 Survey of Literature
11.3 Stepwise Structure Framework of 6G Network
11.4 Key Technologies for 6G Networks
11.5 Confidentiality Difficulties in Sixth-Generation Networks
11.6 Confidentiality Preserving Technologies and Methods
11.7 Ethics and Regulations in Practice
11.8 Novel Solutions for User Confidentiality
11.9 Conclusion
References
12. Analytic Study on Existing Communication Technologies for Smart Grid: Beyond the 5G and Extension Toward 6G
Mukta Jukaria, Sushil Kumar Singh and Richa Pandey
12.1 Introduction
12.1.1 Component of Smart Grid
12.1.2 Advanced Metering Infrastructure (AMI)
12.1.3 Status of Smart Grid or Smart Meter in India
12.2 Generations of Communication Infrastructure
12.3 Background of Existing Wireless Technologies
12.3.1 Zigbee
12.3.2 Wireless Mesh Network/Wireless Local Area Network (WMN/WLAN)
12.3.3 Wi-Fi (Wireless Fidelity)
12.3.4 Worldwide Interoperability for Microwave Access (Wi-Max)
12.3.5 Bluetooth
12.3.6 3G/4G Cellular
12.3.7 Z-Wave
12.4 Wired Communication Technology
12.4.1 Power Line Carriers (PLCs)
12.4.2 Digital Subscriber Line (DSL)
12.4.3 Optical Fiber
12.5 5G Technologies for Smart Grid
12.5.1 Sub-GHz
12.5.2 LoRa
12.6 Next Generation of Communication Technology (6G)
12.6.1 Road Map of 6G
12.6.1.1 Sub-THz Band
12.6.1.2 Millimeter Waves (mmWaves)
12.6.1.3 Li-Fi Technology (Infrared Light)
12.7 Conclusion
Bibliography
13. Power-Efficient Techniques for Sustainable 6G Networks
Pramod Kumar Sagar and Arnika Jain
13.1 Introduction
13.1.1 Motivation of the Chapter
13.2 Literature Review
13.3 Key Drivers for Power Efficiency in 6G
13.3.1 Environmental Sustainability
13.3.2 Economic Viability
13.3.3 IoT Devices
13.4 Techniques for Power Efficiency in 6G
13.4.1 Green Hardware Design
13.4.2 Energy-Aware Network Protocols
13.4.3 Dynamic Resource Allocation
13.5 Artificial Intelligence (AI) for Energy Optimization
13.6 Blockchain for Energy Management
13.7 Role of Renewable Energy in 6G Networks
13.7.1 Integration with Smart Grids
13.7.2 Localized Renewable Energy Systems
13.7.3 Energy Storage Solutions
13.7.4 Integration with Other Renewable Technologies
13.7.5 Environmental and Economic Benefits
13.8 Challenges in Achieving Power Efficiency
13.8.1 High Cost of Green Technology
13.8.2 Interoperability Issues
13.8.3 Complexity of AI and ML Deployment
13.8.4 Reliability of Renewable Energy Sources
13.9 Future Directions: A Roadmap for Power-Efficient 6G Networks
13.10 Conclusion
References
14. Cybersecurity in 6G: Challenges and Future Directions
Shikha Aggarwal, Deepti Mehrotra, Anchal Garg and Sanjeev Thakur
14.1 Introduction
14.2 Literature Survey
14.3 Cybersecurity Challenges in 6G Networks
14.3.1 Emerging Threat Topography in 6G Networks
14.3.2 Advanced Threats and Attack Vectors
14.3.3 Enhanced Privacy and Data Protection
14.4 New Security Paradigms and Technologies
14.5 Interoperability, Regulatory, and Standardization Efforts
14.6 User Awareness and Education
14.7 Security Architecture for 6G
14.8 Regulatory and Legal Considerations
14.9 Ethical Implications of 6G Cybersecurity
14.10 Conclusion and Future Scope
References
About the Editors
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