 Название: Network Security and Data Privacy in 6G Communication: Trends, Challenges, and Applications
Автор: Rajendra Kumar, Vishal Jain, Danish Ather, Vinay Kukreja
Издательство: CRC Press
Год: 2025
Страниц: 301
Язык: английский
Формат: pdf (true), epub
Размер: 30.8 MB
This book proposes robust solutions for securing a network against intrusions for data privacy and safety. It includes theoretical models, commercialization of validated models, and case studies.
System implementations in the 6G environment are being dignified to be more critical and challenging than ever before because of network security and data privacy threats. The 6G networks are growing to offer extraordinary speeds, ultra-low latency, and massive connectivity, therefore they will be enabling a wide range of emerging technologies, including blockchain, augmented and virtual reality, IoT sensors, autonomous vehicles, and many more. This increased connectivity and data exchange bring forth new security and privacy concerns that need to be addressed proactively. Some of the key aspects within the scope of network security and data privacy in the 6G environment include threat landscape expansion, secure communication, edge security, AI-driven security, privacy-preserving technologies, zero-trust architecture, regulatory compliance, supply chain security, flexibility and reliability, user awareness and education, etc.
The expansion and interconnection of devices in 6G networks will expand the attack surface for the intruders. As a challenge, the new types of threats will be targeting 6G infrastructure, applications, and services. There will be the requirement for advanced security measures to counter the potential risks. The study of such challenges and threats will be required to have a proper plan of action. The research and development divisions at public and private levels will need to ensure secure communication, edge security, AI-driven security using privacy-preserving technologies at all the levels. The integration of edge computing in 6G networks brings computing capabilities closer to end-users and devices. The adoption of artificial intelligence and machine learning for network management will also lead to the emergence of AI-driven security solutions. More personal data will be generated and transmitted in 6G networks, so the incorporated learning will become essential to protect user privacy and comply with data protection regulations. The 6G-based future systems will be based on zero-trust architecture to ensure secure access controls and prevent lateral movement of threats. The data privacy regulations will become stricter, therefore organizations operating in the 6G environment will need to comply with evolving privacy laws and demonstrate transparency in data handling and processing. The focus on promoting user awareness and education about security and privacy best practices will be essential to empower individuals to safeguard their data and privacy in the 6G environment.
Explains the integration of technologies such as Artificial Intelligence, the Internet of Things, and blockchain for network security in a 6G communication system.
Highlights the challenges such as spectrum allocation and management, network architecture and heterogeneity, energy efficiency and sustainability, antenna, and radio frequency.
Discuss theories like quantum-safe cryptography, zero-trust networking, and blockchain-based trust management.
Covers emerging technologies including homomorphic encryption, secure multi-party computation, post-quantum cryptography, and distributed ledger technology for security and privacy in 6G communication systems.
Presents light and deep secure algorithms to detect fake incidents in wireless communication.
The text is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, and Computer Science.
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Network Security and Data Privacy in 6G Communication: Trends, Challenges, and Applications 
