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Cybersecurity is facing major challenges due to growing sophistication of cyberattack, including zero-day exploits and polymorphic malware. These changing dangers are too much for conventional intrusion detection and prevention system (IDPS). This study examines the most recent developments in the use of ML and AI to improve IDPS’s capacity to identify, evaluate, and counteract zero-day threats and polymorphic malware. We seek to offer a thorough review of the state of the art in this crucial field of cybersecurity by looking at existing approaches, difficulties, and future perspectives.

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Attack and Impact Comparison of Various Attack Against IDPS Relevant to Malware and Zero-Day Exploits

  • 会议论文

  • 发表日期：

    2026年

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  • T. Mahammad Sharief,
  • A. Sirajudeen

摘要

Cybersecurity is facing major challenges due to growing sophistication of cyberattack, including zero-day exploits and polymorphic malware. These changing dangers are too much for conventional intrusion detection and prevention system (IDPS). This study examines the most recent developments in the use of ML and AI to improve IDPS’s capacity to identify, evaluate, and counteract zero-day threats and polymorphic malware. We seek to offer a thorough review of the state of the art in this crucial field of cybersecurity by looking at existing approaches, difficulties, and future perspectives.