2022•Informatization and communicationRequires access

Analysis of insider threat detection methods tested on CERT dataset

Iurii Bystrov, Igor Vitalievich Kotenko

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Abstract

Applying artificial intelligence for insider threat detection faced a number of challenges: lack of data, user behavior modeling, etc. Meanwhile, there are open datasets for research and there are effective approaches of insider threat detection. This work considers studies that utilizes one of the popular datasets — CERT. A comparative analysis contains features used for user behavior modeling and insider threat detection methods.

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What this paper is about

Applying artificial intelligence for insider threat detection faced a number of challenges: lack of data, user behavior modeling, etc. Meanwhile, there are open datasets for research and there are effective approaches of insider threat detection. This work considers studies that utilizes one of the popular datasets — CERT. A comparative analysis contains features used for user behavior modeling and insider threat detection methods.

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Available abstract

Applying artificial intelligence for insider threat detection faced a number of challenges: lack of data, user behavior modeling, etc. Meanwhile, there are open datasets for research and there are effective approaches of insider threat detection. This work considers studies that utilizes one of the popular datasets — CERT. A comparative analysis contains features used for user behavior modeling and insider threat detection methods.

Key concepts: Insider threat, Insider, Computer science, Computer security, Data mining, Data science, Law, Political science

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