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基于系统抽样和线性回归,生成反映网络攻击的ICS异常数据

Ju Hyeon Lee1, Il Hwan Ji1, Seung Ho Jeon2

  • 1Department of Information Security, Gachon University, Seongnam-si 1342, Republic of Korea.

Sensors (Basel, Switzerland)
|December 23, 2023
PubMed
概括

为工业控制系统 (ICS) 生成现实的网络攻击数据现在更快,更具成本效益. 这种新方法为测试安全设备和培训创造了有价值的异常数据,克服了以前的局限性.

关键词:
产生异常数据的数据生成.网络攻击数据数据网络安全 网络安全工业控制系统 工业控制系统机器学习是机器学习.

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