| Communications on Applied Electronics |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 8 - Number 1 |
| Year of Publication: 2025 |
| Authors: Eman Gaber |
10.5120/cae2025652916
|
Eman Gaber . Secure and Resilient Intrusion Detection Framework for IoT Networks Performance. Communications on Applied Electronics. 8, 1 ( Nov 2025), 42-52. DOI=10.5120/cae2025652916
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.