Author:
Liu Jing,Zhang Jingci,Du Changcun,Wang Dianxin
Publisher
Springer Nature Switzerland
Reference22 articles.
1. Daniel C., Michael A., Matthew C., Samuel P., George S., Derrick S.: An Insider Threat Indicator Ontology. Technical Report CMU/SEI-2016-TR-007. Software Engineering Institute, Carnegie Mellon University, Pittsburgh (2016)
2. CSO, CERT Division of SRI-CMU, and Force Point. 2018 U.S. State of Cybercrime. Technical Report (2018)
3. Shuhan, Y.: Deep learning for insider threat detection: review, challenges and opportunities. Comput. Secur. 104, 102221 (2021). https://doi.org/10.1016/j.cose.2021.102221
4. Lecture Notes in Computer Science,2021
5. Lavanya, P., Shankar Sriram, V.S.: Detection of insider threats using deep learning: a review. In: Nayak, J., Behera, H., Naik, B., Vimal, S., Pelusi, D. (eds.) Computational Intelligence in Data Mining. Smart Innovation, Systems and Technologies, Vol 281. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-9447-9_4
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