Next-Generation Edge Computing: Leveraging Ai-Driven Iot For Autonomous, Real-Time Decision Making And Cyber security

Christianah Gbaja ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2024, vol. 5, issue 1, 357-371

Abstract: Therein lies a reason for the fast growth of edge computing: the proliferation of IoT devices, which sets the stage for autonomous, real-time decision-making in various applications. This paper explores the convergence of artificial intelligence with edge computing architectures to enhance IoT systems and, consequently, achieve faster and efficient processing at the network edge. Here, we introduce a new architecture that leverages AI-powered algorithms to process and analyze data in real-time to allow for instant, automatic responses in critical situations. This work, meanwhile, addresses the growing risk of cybersecurity in this decentralized environment by embedding strong security protocols, specially designed for edge networks. We demonstrate through experiments that, with our system, there will be a significant improvement in the accuracy of decisions with enhanced system resilience against cyber threats. The results show that this new architecture in edge computing holds great potential for the massive industry turning around fast, secure data processing and operations, involving the next frontier of autonomous systems.

Date: 2024
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Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 is currently edited by Justyna Żywiołek

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