Anomaly detection against mimicry attacks based on time decay modelling
Masayoshi Aritsugi, Akinori Muramatsu · International Journal of Grid and Utility Computing · 2024
Because cyberattackers attempt to cheat anomaly detection systems, it is required to make an anomaly detection system robust against such attempts. We focus on mimicry attacks and propose a system to detect such attacks in this paper. Mimicry attacks make use of ordinary operations in order not to be detected. We take account of time decay in modelling operations to give lower priorities to preceding operations, thereby enabling us to detect mimicry attacks. We empirically evaluate our proposal with varying time decay rate for demonstrating that our proposal can detect mimicry attacks, which could not be detected by a state-of-the-art anomaly detection approach.