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As IoT applications evolve continuously, threats against these applications continue to increase. Given the rapid increase in IoT attacks, it becomes imperative to devise methods which use cutting edge approaches like blockchain, machine learning, deep learning, fog, and edge computing. This research focuses on contemporary trends in IoT security; as the central motivation for this SLR paper, four research questions about IoT security has been proposed. This paper confers the result of studies related to different test cases related to IoT security in the period 2015–2023. This time is divided into three slots of three years each. This SLR examined the various security requirements and existing strategies, such as blockchain, machine learning, and fog/edge computing for enhancing security in IoT systems. This extensive survey of the latest publications has identified several pivotal emerging patterns in research that are poised to influence this field’s future.

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A Systematic Literature Review of Machine Learning-Based Solutions for Enhancing IoT Security

  • 会议论文

  • 发表日期：

    2025年

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  • Muskan Garg,
  • Sima

摘要

As IoT applications evolve continuously, threats against these applications continue to increase. Given the rapid increase in IoT attacks, it becomes imperative to devise methods which use cutting edge approaches like blockchain, machine learning, deep learning, fog, and edge computing. This research focuses on contemporary trends in IoT security; as the central motivation for this SLR paper, four research questions about IoT security has been proposed. This paper confers the result of studies related to different test cases related to IoT security in the period 2015–2023. This time is divided into three slots of three years each. This SLR examined the various security requirements and existing strategies, such as blockchain, machine learning, and fog/edge computing for enhancing security in IoT systems. This extensive survey of the latest publications has identified several pivotal emerging patterns in research that are poised to influence this field’s future.