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Technological advancements in critical infrastructures have led to an increase in cyber-attacks. This paper studies a vulnerable aspect of these infrastructures - Internet of Things (IoT) which comprise Supervisory Control and Data Acquisition (SCADA) systems. Evaluating cyber-attacks and defenses in regard to: attack deployment, type, and impact scope; defensive algorithms, response, and efficiency. These attacks and defenses are then analyzed to provide insights on the most common and effective methods to deploy and combat IoT threats. Concluding that Denial of Service (DoS) attacks are the most common, and machine learning algorithms are currently the most effective defense.

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Analytical Study of Attacks and Defenses for IoT in Critical Infrastructure

  • 会议论文

  • 发表日期：

    2025年

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  • Ali Al-Sinayyid,
  • Timothy Sanford,
  • Alexander Sanchez,
  • Rohith Reddy Battula,
  • Sasidhar Kadiyala ,
  • Venkatesh Mannuru

摘要

Technological advancements in critical infrastructures have led to an increase in cyber-attacks. This paper studies a vulnerable aspect of these infrastructures - Internet of Things (IoT) which comprise Supervisory Control and Data Acquisition (SCADA) systems. Evaluating cyber-attacks and defenses in regard to: attack deployment, type, and impact scope; defensive algorithms, response, and efficiency. These attacks and defenses are then analyzed to provide insights on the most common and effective methods to deploy and combat IoT threats. Concluding that Denial of Service (DoS) attacks are the most common, and machine learning algorithms are currently the most effective defense.