Role-based Log Analysis Applying Deep Learning for Insider Threat Detection
Author:
Affiliation:
1. Chinese Academy of Science, Beijing, China
2. Hua Wei, Shenzhen, China
3. Tsinghua University, Beijing, China
4. Mei Tuan, Beijing, China
Funder
CAS/SAFEA International Partnership Program for Creative Research Teams
IIE CAS international cooperation project
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3267494.3267495
Reference5 articles.
1. R Richardson 2010/2011 computer crime and security survey. Computer Security Institute " 2011. Available at: http:// analytics.informationweek.com/abstract/21/7377/Security/ research-2010--2011-csisurvey.html R Richardson 2010/2011 computer crime and security survey. Computer Security Institute " 2011. Available at: http:// analytics.informationweek.com/abstract/21/7377/Security/ research-2010--2011-csisurvey.html
2. Ioannis Agrafiotis Philip Legg Michael Goldsmith and Sadie Creese.2014. Towards a User and Role-based Sequential Behavioral Analysis Tool for Insider Threat Detection Journal of Internet Services and Information Security (JISIS) volume: 4 number: 4 (November 2014) pp. 127--137 Ioannis Agrafiotis Philip Legg Michael Goldsmith and Sadie Creese.2014. Towards a User and Role-based Sequential Behavioral Analysis Tool for Insider Threat Detection Journal of Internet Services and Information Security (JISIS) volume: 4 number: 4 (November 2014) pp. 127--137
3. CERT Insider Threat Tools. http://www.cert.org/insider-threat/tools/. CERT Insider Threat Tools. http://www.cert.org/insider-threat/tools/.
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