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Research on Decision Support System for Multi-step Complex Attacks

  • Yaoxin Pan,
  • Tengteng Ma,
  • Chuan Xu,
  • Wen Zhang

摘要

With the increasingly severe situation of network security, network attack behaviors are evolving towards diversification and complexity, and multi-step attack has become one of the main ways of network attack. Traditional defense systems are unable to cope with the concealment and complexity of such attacks. This paper focuses on the design of a decision support system for multi-step complex attacks, aiming to build a system that can effectively detect, analyze and respond to these attacks. By integrating heterogeneous data from multiple sources and utilizing data analysis algorithms and decision support technologies, an efficient system architecture is constructed. The case study verifies the defense capability of the constructed decision support system against multi-step complex attacks, providing new support and guarantee for network security protection.