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1

Department of Information Network and Communication, Kanagawa Institute of Technology-1030, Shimo-ogino, Atsugi, Kanagawa 243-0292, Japan

2

Department of Knowledge-Based Information Engineering, Toyohashi University of Technology-1-1, Tempaku, Toyohashi, Aichi 441-8580, Japan





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Abstract This paper proposes an immunity-based anomaly detection system with sensor agents based on the specificity and diversity of the immune system. Each agent is specialized to react to the behavior of a specific user. Multiple diverse agents decide whether the behavior is normal or abnormal. Conventional systems have used only a single sensor to detect anomalies, while the immunity-based system makes use of multiple sensors, which leads to improvements in detection accuracy. In addition, we propose an evaluation framework for the anomaly detection system, which is capable of evaluating the differences in detection accuracy between internal and external anomalies. This paper focuses on anomaly detection in user’s command sequences on UNIX-like systems. In experiments, the immunity-based system outperformed some of the best conventional systems. View Full-Text

Keywords: immunity-based system; anomaly detection; intrusion detection; sensor agent; hidden Markov model; receiver operating characteristics immunity-based system; anomaly detection; intrusion detection; sensor agent; hidden Markov model; receiver operating characteristics





Author: Takeshi Okamoto 1,* and Yoshiteru Ishida 2

Source: http://mdpi.com/



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