概括
这项研究引入了对隐藏的马尔科夫布尔控制网络 (HMBCNs) 的转移攻击. 它介绍了随机稳定和安全分析的方法,确保网络控制系统对复杂的网络威胁的弹性.
科学领域:
- 控制理论 控制理论
- 网络安全 网络安全
- 网络物理系统 网络物理系统
背景情况:
- 隐藏的马科夫布尔控制网络 (HMBCNs) 是复杂的系统,容易受到复杂的网络攻击.
- 了解和减轻转移攻击对于保持这些网络的稳定性和安全性至关重要.
研究的目的:
- 在新的"转移攻击"下分析和开发HMBCNs的控制策略.
- 为了建立条件的随机稳定和网络安全对此类攻击.
- 提供用于估计攻击HMBCNs的状态和信号预期的方法.
主要方法:
- 使用矩阵的半张向量积的HMBCNs和转移攻击的代数表示.
- 应用国家反控制 (SFC) 进行网络稳定.
- 模拟转移攻击作为一个隐藏的马尔科夫过程.
- 使用概率变化测量方法进行状态估计.
主要成果:
- 为了获得HMBCNs的随机稳定,我们得出了一个必要和充分的条件.
- 在转移攻击下建立了HMBCN安全和不安全的条件.
- 展示了有效的方法来估计状态的预期和攻击信号.
结论:
- 拟议的方法有效地稳定HMBCN,并在转移攻击时分析安全性.
- 这些发现为保护复杂的控制网络免受先进的网络威胁提供了有价值的见解.
- 通过说明性示例证明有效性,验证理论结果.
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