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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.
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