论文标题
检测随机网络物理系统攻击的统计方法
Statistical Approach to Detection of Attacks for Stochastic Cyber-Physical Systems
论文作者
论文摘要
我们研究检测对随机网络物理系统攻击的问题。我们旨在以最一般的形式对待问题。我们首先引入渐近可检测到的攻击的概念，因为这些攻击引入了系统的输出统计信息的变化，这些攻击持续渐近。然后，我们为渐近可检测性提供了必要和充分的条件。这种条件保留了一般性，因为它在系统和攻击方案的无限假设下保持不变。为了显示这种情况的重要性，我们将其应用于检测某些使用简单统计信息无法检测到的攻击方案。我们必要的充分条件自然会导致算法，从而为攻击检测提供了信心水平。我们提出仿真结果，以说明该算法的性能。
We study the problem of detecting an attack on a stochastic cyber-physical system. We aim to treat the problem in its most general form. We start by introducing the notion of asymptotically detectable attacks, as those attacks introducing changes to the system's output statistics which persist asymptotically. We then provide a necessary and sufficient condition for asymptotic detectability. This condition preserves generality as it holds under no restrictive assumption on the system and attacking scheme. To show the importance of this condition, we apply it to detect certain attacking schemes which are undetectable using simple statistics. Our necessary and sufficient condition naturally leads to an algorithm which gives a confidence level for attack detection. We present simulation results to illustrate the performance of this algorithm.
