基于学习的最低成本策略,用于在数据注入攻击下对布尔控制网络的设置可访问性
Yong Wang1, Chi Huang2, Jianquan Lu3
1School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, 611130, China.
概括
本研究针对布尔控制网络中的错误数据注入攻击 (FDIA),建立了在概率约束下保证集可访问性的条件. 方法包括一种新的系统构建和双重深度Q网络,以实现高效的攻击序列发现.
科学领域:
- 控制系统工程 控制系统工程
- 网络安全 网络安全
- 计算生物学 计算生物学
背景情况:
- 布尔控制网络对于建模复杂系统至关重要.
- 假数据注入攻击 (FDIA) 对网络安全和可靠性构成重大威胁.
- 了解设置可访问性中的攻击漏洞对于稳健的系统设计至关重要.
研究的目的:
- 在布尔控制网络中调查具有故障概率的FDIA.
- 在各种攻击和控制场景下建立条件以保证设置可访问性.
- 开发有效的方法来找到最佳的数据注入序列 (DIS).
主要方法:
- 在概率性FDIA下,为设置可访问性推导必要和充分的条件.
- 构建一种用于分析特定控制输入序列 (CIS) 的新系统.
- 开发用于最小时间DIS的算法和用于大型网络的双深Q网络.
主要成果:
- 设置可达性设置的确定的条件,其概率为1或超过给定的边界.
- 提出了一种方法,以找到特定CIS的最小时间DIS.
- 引入了一种使用双深Q网络的无模型方法,以在大型网络中实现成本效益高的DIS发现.
结论:
- 提出的方法有效地解决了布尔控制网络中的FDIA.
- 开发的算法和方法是实用和高效的,通过生物实例来证明.
- 这项研究有助于提高控制系统对复杂攻击的安全性和可靠性.
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