A Data-Driven Evaluation for Insider Threats

Author:

Sun Yuqing,Xu Haoran,Bertino Elisa,Sun Chao

Funder

National Natural Science Foundation of China

Independent Innovation and Achievements Transformation of Shandong Province

Science and Technology Development Program of Shandong Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computational Mechanics

Reference28 articles.

1. Cappelli DM, Moore AP, Trzeciak RF (2012) The CERT guide to insider threats: how to prevent, detect, and respond to information technology crimes (Theft, Sabotage, Fraud). Addison-Wesley Professional

2. Bertino E (2012) Data protection from insider threats. Synthesis Lectures on Data Management 4.4, pp 1–91

3. Mayhew M, Atighetchi M, Adler A et al (2015) Use of machine learning in big data analytics for insider threat detection. In: IEEE Proceedings of military communications conference. pp 915–922

4. Richardson R (2011) 15th annual 2010/2011 computer crime and security survey. Computer Security Institute, New York

5. Harel A, Shabtai A, Rokach L et al (2012) M-score: a misuseability weight measure. IEEE Trans Dependable Secure Comput 9(3):414–428

Cited by 11 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. Users’ Scenario-Base for Analysing Insider Threat Detection Based on User’s Downloads Activity Logs;Lecture Notes in Networks and Systems;2024

2. Outlier based intrusion detection in databases for user behaviour analysis using weighted sequential pattern mining;International Journal of Machine Learning and Cybernetics;2023-12-11

3. Trust factor-based analysis of user behavior using sequential pattern mining for detecting intrusive transactions in databases;The Journal of Supercomputing;2023-02-21

4. A Proposed Approach to Analyze Insider Threat Detection Using Emails;2022 3rd International Conference on Computation, Automation and Knowledge Management (ICCAKM);2022-11-15

5. A review for insider threats detection using machine learning;INNOVATIONS IN COMPUTATIONAL AND COMPUTER TECHNIQUES: ICACCT-2021;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3