Jamming-Resilient Communication for Industrial IoT Systems using Chaotic Oscillators and Physical Unclonable Functions
Keywords:
Chaotic oscillators, Dynamic signal generation, Interference mitigation, Authentication protocols, resilient communication paradigms.Abstract
Industrial Internet of Things (IIoT) systems are indispensable for modern industries yet face substantial challenges in ensuring secure and reliable communication amidst pervasive jamming threats. This research proposes a novel approach leveraging chaotic oscillators and Physical Unclonable Functions (PUFs) to fortify communication resilience in IIoT environments. The prevailing challenges encompass vulnerabilities of traditional communication protocols to jamming attacks, exacerbating the need for robust countermeasures. By integrating chaotic oscillators and PUFs, this study seeks to overcome these challenges by introducing dynamic and unpredictable elements into the communication process. Chaotic oscillators generate signal patterns resistant to interference, while PUFs ensure secure authentication and key establishment, collectively enhancing system resilience. The purpose of this research is twofold: firstly, to address the pressing need for enhanced communication security in IIoT systems by mitigating the impact of jamming attacks; and secondly, to explore the efficacy of chaotic oscillators and PUFs as innovative solutions for fortifying communication channels. By investigating the integration of these technologies, this research aims to contribute to advancing resilient communication paradigms in industrial settings, thereby fostering operational continuity, and safeguarding critical infrastructure against emerging cybersecurity threats.Top of Form
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