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Research on the Generation Method of Predictive Intrusion Graph Model

  • Jie Gao,
  • Taoran Huang,
  • Shengxin Jiang,
  • Jinchao Zhang,
  • Yang Chen,
  • Hongwei Lu

摘要

In recent years, military equipment has been developing towards digitization, networking, and intelligence. Software, as a core component of equipment, and network systems, as the survival environment of software, their security and stability are crucial, which are related to whether equipment can fully exert combat effectiveness and operate in an orderly and stable manner. This article proposes a new intrusion graph model generation method based on the current status of equipment development. This model can make risk analysis in network systems more accurate and has important significance in reducing network security risks. At the same time, it also reduces the protection cost of network systems and provides support for equipment network security protection.