Title: Anomaly detection against mimicry attacks based on time decay modelling

Authors: Akinori Muramatsu; Masayoshi Aritsugi

Addresses: Computer Science and Electrical Engineering, Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan ' Big Data Science and Technology, Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto, Japan

Abstract: 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.

Keywords: anomaly detection; mimicry attacks; time decay modelling; stream processing.

DOI: 10.1504/IJGUC.2024.140963

International Journal of Grid and Utility Computing, 2024 Vol.15 No.5, pp.420 - 432

Received: 06 Mar 2020
Accepted: 16 Sep 2020
Published online: 05 Sep 2024 *

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