A Hybrid Intelligent System for Insider Threat Detection Using Iterative Attention-Reference-Cited by-同舟云学术

A Hybrid Intelligent System for Insider Threat Detection Using Iterative Attention

Published:2020-01-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of 2020 the 6th International Conference on Computing and Data Engineering
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Author:

Ren Xueshuang¹,Wang Liming¹

Affiliation:

1. Institute of information engineering, Chinese academy of sciences, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3379247.3379251

Reference15 articles.

1. Beehive

2. Xueshuang Ren and Liming Wang. 2019. DMNAED: A Novel Framework Based on Dynamic Memory Network for Abnormal Event Detection in Enterprise Networks. In Advances in Knowledge Discovery and Data Mining - 23rd PacificAsia Conference 574--586. Xueshuang Ren and Liming Wang. 2019. DMNAED: A Novel Framework Based on Dynamic Memory Network for Abnormal Event Detection in Enterprise Networks. In Advances in Knowledge Discovery and Data Mining - 23rd PacificAsia Conference 574--586.

3. Eric Shaw Keli Ruby and J Post. 1998. The Insider threat to information systems: The psychology of the dangerous insider. Security Awareness Bulletin 2 (01-1998). Eric Shaw Keli Ruby and J Post. 1998. The Insider threat to information systems: The psychology of the dangerous insider. Security Awareness Bulletin 2 (01-1998).

4. Varun Chandola Arindam Banerjee and Vipin Kumar. 2009. Anomaly detection: A survey. ACM Comput. Surv. 41 3 (2009) 15:1--15:58. Varun Chandola Arindam Banerjee and Vipin Kumar. 2009. Anomaly detection: A survey. ACM Comput. Surv. 41 3 (2009) 15:1--15:58.

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