A review for insider threats detection using machine learning-Reference-Cited by-同舟云学术

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A review for insider threats detection using machine learning

Published:2022 Issue: Volume: Page:
ISSN:0094-243X
Container-title:INNOVATIONS IN COMPUTATIONAL AND COMPUTER TECHNIQUES: ICACCT-2021
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Author:

Mittal Anupam,Garg Urvashi

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0108887

Reference43 articles.

1. L. Lin, S. Zhong, C. Jia, and K. Chen, “Insider threat detection based on deep belief network feature representation,” in 2017 International Conference on Green Informatics (ICGI), 2017, pp. 54–59.

2. W. Park, Y. You, and K. Lee, “Detecting potential insider threat: Analyzing insiders’ sentiment exposed in social media,” Secur. Commun. Networks, vol. 2018, 2018.

3. L. Liu, O. De Vel, C. Chen, J. Zhang, and Y. Xiang, “Anomaly-based insider threat detection using deep autoencoders,” in 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 2018, pp. 39–48.

4. Insider-threat detection using Gaussian Mixture Models and Sensitivity Profiles

5. A Data-Driven Evaluation for Insider Threats

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identifying Insider Cyber Threats Using Behaviour Modelling and Analysis;2023 OITS International Conference on Information Technology (OCIT);2023-12-13

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