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Analyzing Data Granularity Levels for Insider Threat Detection Using Machine Learning.

, , и . IEEE Trans. Netw. Serv. Manag., 17 (1): 30-44 (2020)

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Dynamic Insider Threat Detection Based on Adaptable Genetic Programming., , и . SSCI, стр. 2579-2586. IEEE, (2019)Anomaly Detection for Insider Threats Using Unsupervised Ensembles., и . IEEE Trans. Netw. Serv. Manag., 18 (2): 1152-1164 (2021)Evaluating Insider Threat Detection Workflow Using Supervised and Unsupervised Learning., и . IEEE Symposium on Security and Privacy Workshops, стр. 270-275. IEEE Computer Society, (2018)Machine learning based Insider Threat Modelling and Detection., и . IM, стр. 1-6. IFIP, (2019)Exploring anomalous behaviour detection and classification for insider threat identification., и . Int. J. Netw. Manag., (2021)Analyzing Data Granularity Levels for Insider Threat Detection Using Machine Learning., , и . IEEE Trans. Netw. Serv. Manag., 17 (1): 30-44 (2020)Exploring Feature Normalization and Temporal Information for Machine Learning Based Insider Threat Detection., , и . CNSM, стр. 1-7. IEEE, (2019)Benchmarking evolutionary computation approaches to insider threat detection., , , и . GECCO, стр. 1286-1293. ACM, (2018)Benchmarking genetic programming in dynamic insider threat detection., , и . GECCO (Companion), стр. 385-386. ACM, (2019)Exploring Adversarial Properties of Insider Threat Detection., и . CNS, стр. 1-9. IEEE, (2020)