In this paper, we investigate denial-of-service attacks against status updating. The target system is modeled by a Markov chain and an unreliable wireless channel, and the performance of status updating in the target system is measured based on two metrics: age of information and age of incorrect information. Our objective is to devise optimal attack policies that strike a balance between the deterioration of the system's performance and the adversary's energy. We model the optimal problem as a Markov decision process and prove rigorously that the optimal jamming policy is a threshold-based policy under both metrics. In addition, we provide a low-complexity algorithm to obtain the optimal threshold value of the jamming policy. Our numerical results show that the networked system with the age-of-incorrect-information metric is less sensitive to jamming attacks than with the age-of-information metric. Index Terms-age of incorrect information, age of information, cyber-physical systems, status updating, remote monitoring.

翻译：本文研究了针对状态更新的拒绝服务攻击。目标系统通过马尔可夫链和不可靠无线信道建模，并使用两种指标衡量状态更新性能：信息年龄和错误信息年龄。我们的目标是设计最优攻击策略，在系统性能恶化和攻击者能耗之间取得平衡。我们将该优化问题建模为马尔可夫决策过程，并严格证明在两种指标下最优干扰策略均为基于阈值的策略。此外，我们提出了一种低复杂度算法来获取干扰策略的最优阈值。数值结果表明，与信息年龄指标相比，采用错误信息年龄指标的网络化系统对干扰攻击的敏感性更低。关键词：错误信息年龄、信息年龄、信息物理系统、状态更新、远程监控。