MACHINE LEARNING-BASED INTRUSION AND ANOMALY DETECTION MODELS FOR SECURING IOT NETWORKS AGAINST EMERGING CYBER THREATS

Mian Talha Sarfraz; Muhammad Ahsan Hayat; Shayan Ahmed; Mehran Ali; Aribah Murtaza

MACHINE LEARNING-BASED INTRUSION AND ANOMALY DETECTION MODELS FOR SECURING IOT NETWORKS AGAINST EMERGING CYBER THREATS

Authors

Mian Talha Sarfraz
Muhammad Ahsan Hayat
Shayan Ahmed
Mehran Ali
Aribah Murtaza

Abstract

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Published

2025-09-30

How to Cite

Mian Talha Sarfraz, Muhammad Ahsan Hayat, Shayan Ahmed, Mehran Ali, & Aribah Murtaza. (2025). MACHINE LEARNING-BASED INTRUSION AND ANOMALY DETECTION MODELS FOR SECURING IOT NETWORKS AGAINST EMERGING CYBER THREATS. Spectrum of Engineering Sciences, 3(9), 1445–1463. Retrieved from https://thesesjournal.com/index.php/1/article/view/1145