Abstract

The exponential growth of IoT demands scalable and adaptive security frameworks to counter emerging cyber threats. This paper presents a MATLAB-based evaluation of a lightweight intrusion detection framework for IoT networks. Performance analysis under varying traffic loads (25–1000 messages) shows a consistent 90% attack detection rate, reduced detection time (from 2.14s to 1.44s), and improved legitimate message rate (73%–80.7%). These results confirm the framework’s scalability, resilience, and efficiency, demonstrating its capability to ensure secure and reliable IoT communications while minimizing false positives and maintaining strong intrusion detection accuracy.

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