METHODOLOGY FOR IDENTIFYING ANOMALIES BASED ON IMMUNE SYSTEM MECHANISMS
Keywords:
artificial immune system, anomaly, information security, adverse selection algorithm, system calls, detectors, gene library, cybersecurity.Abstract
This article proposes an artificial immune system, based on the principles of the biological immune system, for detecting anomalies in information systems. Anomaly detection utilizes an adverse selection algorithm to identify user actions that deviate from the norm. This approach detects anomalies by monitoring system activity in real time, generating a set of templates and detectors. The article also describes the operating principles of the artificial immune system, the evolution of the gene library, and the cloning process. The effectiveness of the proposed model is demonstrated through practical experiments and comparison with other traditional methods.
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Copyright (c) 2025 Shukhrat Umarov, Nurali Umarov
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