The advent of sixth-generation (6G) wireless networks marks
a paradigm shift beyond incremental gains in speed and latency toward
AI-native, hyper-connected ecosystems supporting trillions of Internet of
Things (IoT) devices. With projected terabit-per-second throughput,
sub-millisecond latency, and integration of terahertz communication,
holographic MIMO, and distributed edge computing, 6G promises transformative
applications in healthcare, transportation, smart cities, and immersive digital
environments. However, this evolution also introduces unprecedented
cybersecurity and privacy challenges. AI-driven network management creates new
attack surfaces vulnerable to data poisoning, adversarial manipulation, and
model inversion. Quantum computing threatens to render classical cryptography
obsolete, while insecure IoT devices and distributed edge nodes amplify
systemic risks. Moreover, centimetre-level localisation and behavioural
profiling capabilities raise profound privacy concerns that existing regulatory
frameworks, such as GDPR and CCPA, are ill-prepared to address. This study
examines these multi-layered vulnerabilities and highlights mitigation
strategies, including zero-trust architectures, post-quantum cryptography,
blockchain-based accountability, and AI-enhanced defences. It further explores
societal and policy implications, emphasising the need for international
collaboration, ethical AI governance, and security-by-design principles. The
findings underscore that the next decade represents a critical window to embed
robust cybersecurity and privacy protections in 6G infrastructure, ensuring
that the networks underpinning future digital societies are both innovative and
trustworthy.
Author(s) Details
Emma Junior Emmanuel
Department of Computer Science, Prairie View A&M University, United
States of America.
Please see the book here :- https://doi.org/10.9734/bpi/nhstc/v5/6425
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