An Event Based Detection of Internal Threat to Information System
Li, Zheng3; Liu, Kun1,2
2019-09-21
会议名称5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019
会议日期2019-7-20 ~ 2019-7-22
会议地点Kunming, China
关键词Internal threat Event detection Rule engine Complex event
通讯作者Liu, Kun
英文摘要

Internal threat is an important issue for the information systems of an organization. To deal with this problem, organizations often formulate regulations and rules to regulate the behavior of employees and prevent them from causing production risks. However, how to effectively detect violations of the rules in the production process is challenging. In this paper, we propose an event based internal threat detection method. Firstly, we establish a detection model for regulation violation by representing rules and regulations as complex events and design a rule engine to detect if these complex events occur and discover the violations of rules. Then the logs generated during product are used for activating the rule reasoning. Finally, the rule violation will be reported to the supervisor for further investigation. The experiment on the real production processes shows the method is effective and efficient to detect internal threats and can be used at major production sites.

收录类别EI
会议网址https://link.springer.com/chapter/10.1007/978-3-030-31967-0_5
会议录出版者Springer Nature Switzerland AG
会议录出版地Cham, Switzerland
语种英语
ISSN号21945357
ISBN号9783030319663
内容类型会议论文
源URL[http://ir.iscas.ac.cn/handle/311060/19327]  
专题软件研究所_人机交互技术与智能信息处理实验室_会议论文
作者单位1.Institute of Software, Chinese Academy of Sciences, Beijing; 100190, China
2.University of Chinese Academy of Sciences, Beijing; 100049, China
3.School of Managerment, Hefei University of Technology, Hefei; 230009, China
推荐引用方式
GB/T 7714
Li, Zheng,Liu, Kun. An Event Based Detection of Internal Threat to Information System[C]. 见:5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019. Kunming, China. 2019-7-20 ~ 2019-7-22.https://link.springer.com/chapter/10.1007/978-3-030-31967-0_5.
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