Adaptive Neuro-Fuzzy Security Framework in IoT Environments Tuned  by Particle Swarm Optimization

Nandipati Sai Akash , Naveen Sai Bommina , Uppu Lokesh , Dr. Hussain Syed , Dr. Syed  Umar

Adaptive Neuro-Fuzzy Security Framework in IoT Environments Tuned by Particle Swarm Optimization

Authors

Nandipati Sai Akash , Naveen Sai Bommina , Uppu Lokesh , Dr. Hussain Syed , Dr. Syed Umar

Keywords:

Internet of Things (IoT), Neuro-Fuzzy Inference System (NFIS), Particle Swarm Optimization (PSO), Adaptive Security Framework, Anomaly Detection, Intrusion Detection System (IDS), Fuzzy Logic.

Abstract

The dynamic and heterogeneous nature of Internet of Things (IoT) environments presents significantchallenges in maintaining effective and adaptive security mechanisms. This research proposes anAdaptive Neuro-Fuzzy Security Framework designed to detect and respond to evolving cyber threats

References

Jang, J. S. R. (1993). ANFIS: Adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man, and Cybernetics, 23(3), 665–685.

Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. In Proceedings of ICNN'95 - International Conference on Neural Networks (Vol. 4, pp. 1942–1948).

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Published

2019-12-25

How to Cite

Nandipati Sai Akash , Naveen Sai Bommina , Uppu Lokesh , Dr. Hussain Syed , Dr. Syed Umar. (2019). Adaptive Neuro-Fuzzy Security Framework in IoT Environments Tuned by Particle Swarm Optimization . Journal of Computational Analysis and Applications (JoCAAA), 27(7), 71–82. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3103