Security and Privacy Schemes for Dense 6G Wireless Communication Networks / edited by Agbotiname Lucky [and three others].

Format:

Book

Contributor:

Imoize, Agbotiname Lucky, editor.

Series:

IET security series ; 21.

IET security series ; 21

Language:

English

Subjects (All):

Computer networks--Security measures.

Computer networks.

Wireless communication systems--Security measures.

Wireless communication systems.

Physical Description:

1 online resource (514 pages) : illustrations.

Edition:

1st ed.

Place of Publication:

London, England : Institution of Engineering and Technology, 2023.

Summary:

Fifth generation (5G) wireless networks are now commercialized, and the research focus has shifted towards sixth generation (6G) wireless systems. The integration of sensor nodes and massive machine type communication (MTC) devices (MDs) in ubiquitous 5G networks has facilitated the design of critical enabling technologies to support billions of data-hungry applications. By leveraging sensor nodes in wireless sensor networks (WSNs), sensitive user information can be harvested and transmitted to receivers via WSN-assisted channels, which are often not well secured. Consequently, sensitive user information can be intercepted and used unlawfully. The security and confidentiality measures used for data transmission over existing 5G WSN-assisted channels are limited. 6G systems are envisaged to face fiercer security challenges. In 6G wireless networks, a new set of sensing and precise localization techniques are predicted. Thus, the need to secure user information against adversarial attacks needs to be implemented at the design stage. The book proposes viable solutions to revamp traditional security architecture by addressing critical security challenges in commercialized 5G and envisioned 6G wireless communication systems. Expert contributors bring new insights into real-world scenarios for the deployment, applications and management of robust, secure, and efficient security schemes for massive devices in 6G wireless networks. Finally, the book discusses critical security and privacy issues affecting the wireless ecosystem and provides practical AI-based solutions. Security and Privacy Schemes for Dense 6G Wireless Communication Networks is an essential reference for industry and academic researchers; scientists, engineers, lecturers and advanced students in the fields of cybersecurity wireless communication and networking, network security, computing, data science, AI/ML/DL, and sensing, as well as cybersecurity professionals and 6G standardization experts.

Contents:

Chapter 1: Introduction to emerging security and privacy schemes for dense 6G wireless communication networksChapter 2: History of security and privacy in wireless communication systems: open research issues and future directionsChapter 3: Artificial intelligence-enabled security systems for 6G wireless networks: algorithms, strategies, and applicationsChapter 4: The vision of 6G security and privacyChapter 5: Security threat landscape for 6G architectureChapter 6: Dynamic optical beam transmitter of secure visible light communication systemsChapter 7: A new machine learning-based scheme for physical layer securityChapter 8: Vehicular ad hoc networks employing intelligent reflective surfaces for physical layer securityChapter 9: Physical layer security solutions and technologiesChapter 10: Steganography-based secure communication via single carrier frequency division multiple access (SC-FDMA) transceiverChapter 11: A lightweight algorithm for the detection of fake incident reports in wireless communication systemsChapter 12: A real-time intrusion detection system for service availability in cloud computing environmentsChapter 13: Addressing the security challenges of IoT-enabled networks using artificial intelligence, machine learning, and blockchain technologyChapter 14: Alleviating 6G security and privacy issues using artificial intelligenceChapter 15: Interference and phase noise in millimeter wave MIMO-NOMA and OFDM systems for beyond 5G networksChapter 16: A generative adversarial network-based approach for mitigating inference attacks in emerging wireless networksChapter 17: Adversarial resilience of self-normalizing convolutional neural networks for deep learning-based intrusion detection systemsChapter 18: Legal frameworks for security schemes in wireless communication systemsChapter 19: Design of a quantum true random number generator using quantum gates and benchmarking its performance on an IBM quantum-computerChapter 20: Security challenges and prospects of 6G network in cloud environments.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-83724-443-X

1-83953-664-0

OCLC:

1450839678