AI-Powered Threat Detection and Anomaly Monitoring in IoT Networks

Dr. Durga Prasad Inturu, Juthuka. Kalavathi, P. Venkatesh, Terli Vinay, Dr. A.V.N.Chandra Sekhar

AI-Powered Threat Detection and Anomaly Monitoring in IoT Networks

Authors

Dr. Durga Prasad Inturu, Juthuka. Kalavathi, P. Venkatesh, Terli Vinay, Dr. A.V.N.Chandra Sekhar

Keywords:

AI-powered threat detection, anomaly monitoring, Internet of Things (IoT), machine learning, cybersecurity, IoT security, real-time monitoring, intrusion detection systems, network traffic analysis, behavioral analytics, IoT malware, botnet detection, deep learning, adaptive security, cyber threat intelligence.

Abstract

The fast growth of the Internet of Things (IoT) has revolutionized automation andconnectivity across numerous industries, but it has also increased network susceptibility to increasingly sophisticated cyberthreats

References

Alblehai, F., et al. (2025). Artificial intelligence-driven cybersecurity system for IoT networks using self-attention-based deep

learning and metaheuristic optimization Scientific Reports, 15, 98056.

Downloads

Published

2024-11-26

How to Cite

Dr. Durga Prasad Inturu, Juthuka. Kalavathi, P. Venkatesh, Terli Vinay, Dr. A.V.N.Chandra Sekhar. (2024). AI-Powered Threat Detection and Anomaly Monitoring in IoT Networks . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 6895–6910. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4044