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An Event Based Detection of Internal Threat to Information System

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Advances in Harmony Search, Soft Computing and Applications (ICHSA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1063))

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Abstract

Internal threat is an important issue for the information systems of an organization. To deal with this problem, organizations often formulate regulations and rules to regulate the behavior of employees and prevent them from causing production risks. However, how to effectively detect violations of the rules in the production process is challenging. In this paper, we propose an event based internal threat detection method. Firstly, we establish a detection model for regulation violation by representing rules and regulations as complex events and design a rule engine to detect if these complex events occur and discover the violations of rules. Then the logs generated during product are used for activating the rule reasoning. Finally, the rule violation will be reported to the supervisor for further investigation. The experiment on the real production processes shows the method is effective and efficient to detect internal threats and can be used at major production sites.

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Correspondence to Kun Liu .

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Li, Z., Liu, K. (2020). An Event Based Detection of Internal Threat to Information System. In: Kim, J., Geem, Z., Jung, D., Yoo, D., Yadav, A. (eds) Advances in Harmony Search, Soft Computing and Applications. ICHSA 2019. Advances in Intelligent Systems and Computing, vol 1063. Springer, Cham. https://doi.org/10.1007/978-3-030-31967-0_5

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