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.