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题名:
on estimating cyber adversaries capabilities: a bayesian model approach
作者: Jiang Jianchun ; Chen Weifeng ; Ding Liping
会议文集: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议名称: 13th International Symposium on Recent Advances in Intrusion Detection Systems, RAID 2010
会议日期: September
出版日期: 2010
会议地点: Ottawa, ON, Canada
关键词: Bayesian networks ; Computer crime ; Estimation ; Personal computing
出版地: Germany
收录类别: EI
ISSN: 3029743
ISBN: 3642155111
部门归属: (1) National Engineering Research Center of Fundamental Software, Institute of Software, Chinese Academy of Sciences, Beijing, China; (2) Dept. of Math and Computer Science, California University of PA, United States
英文摘要: Cyber adversaries refer to people or groups who do harm to the information system, such as hackers, espionage persons, and terrorists. Different Cyber adversaries have different motivations, and obviously, have different resources and attack techniques. The resource and attack techniques are referred to as adversaries capacities. Accurate estimation of adversaries capacities can help network administrator to use different approaches to prevent potential attacks or respond to emerging attacks. However, cyber adversaries capabilities are hidden, dynamic and difficult to observe directly. This poster aims to take a systemic approach to estimate adversaries capacities. Since we cannot obtain complete information about the adversaries, a reasonable approach is to estimate adversaries capabilities using partial information that has been observed. The estimation hypothesis, initially stating that the adversary has equal probabilities to have high level capacities and low level capacities, will be refined using Bayesian rules as we collect more evidences from network data. © 2010 Springer-Verlag.
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/8844
Appears in Collections:基础软件国家工程研究中心_会议论文

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Recommended Citation:
Jiang Jianchun,Chen Weifeng,Ding Liping. on estimating cyber adversaries capabilities: a bayesian model approach[C]. 见:13th International Symposium on Recent Advances in Intrusion Detection Systems, RAID 2010. Ottawa, ON, Canada. September.
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