Security Architectures, Threat Intelligence, and Emerging Defense Paradigms in Internet of Things and Next-Generation Wireless Networks
Keywords:
Internet of Things security, 5G networks, wireless threats, machine learning defenseAbstract
The rapid expansion of the Internet of Things (IoT), coupled with the global deployment of next-generation wireless communication infrastructures such as 5G and IPv6-enabled networks, has fundamentally transformed digital ecosystems across industrial, commercial, and societal domains. While these technologies enable unprecedented connectivity, automation, and data-driven intelligence, they also introduce complex and multilayered security challenges that extend beyond traditional networked systems. IoT devices are frequently characterized by constrained computational resources, heterogeneous communication protocols, long deployment lifecycles, and limited physical protection, making them particularly vulnerable to cyber threats. At the same time, advanced wireless technologies introduce novel attack surfaces related to virtualization, software-defined networking, edge and fog computing, and high-frequency communication mechanisms. This research article presents a comprehensive and theory-driven examination of security architectures, threat models, and defense strategies for IoT and next-generation wireless networks. Drawing strictly on established scholarly references, the study synthesizes insights from surveys on 5G security, short-range wireless attacks, practical IoT vulnerabilities, machine learning-based defense mechanisms, radio frequency fingerprinting, blockchain-enabled trust models, and fog computing intelligence. Through extensive conceptual elaboration, the article analyzes how threats propagate across physical, network, and application layers, how emerging technologies reshape adversarial capabilities, and how defense paradigms must evolve toward adaptive, intelligence-driven, and cross-layer security frameworks. The findings highlight that effective IoT and wireless security cannot rely on isolated mechanisms but must integrate architectural resilience, behavioral monitoring, distributed trust, and contextual awareness. The article concludes by discussing limitations in current approaches and outlining future research directions toward scalable, interoperable, and trustworthy IoT ecosystems.
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Copyright (c) 2025 Dr. Michael A. Thornton (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
