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Machine Learning in IoT Security Survey by trangiapthan379 is a document available to read on EtoBox.

This survey article provides a comprehensive overview of the role of machine learning (ML) and deep learning (DL) in enhancing security for Internet of Things (IoT) systems. It discusses the unique security challenges posed by IoT, the inadequacies of traditional security methods, and the necessity for advanced techniques to protect these interconnected devices. The paper also categorizes various attacks on IoT systems, evaluates existing security frameworks, and highlights future research directions in the

Author
trangiapthan379
Language
EN