on estimating cyber adversaries capabilities: a bayesian model approach
文献类型：会议论文
| 作者 | Jiang Jianchun ; Chen Weifeng ; Ding Liping |
| 出版日期 | 2010 |
| 会议名称 | 13th International Symposium on Recent Advances in Intrusion Detection Systems, RAID 2010 |
| 会议日期 | September |
| 会议地点 | Ottawa, ON, Canada |
| 关键词 | Bayesian networks Computer crime Estimation Personal computing |
| 页码 | 502-504 |
| 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. |
| 收录类别 | EI |
| 会议录 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
 |
| 会议录出版地 | Germany |
| ISSN号 | 3029743 |
| ISBN号 | 3642155111 |
| 源URL | [http://124.16.136.157/handle/311060/8844]  |
| 专题 | 软件研究所_基础软件国家工程研究中心_会议论文 |
| 推荐引用方式 GB/T 7714 | 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. |
入库方式： OAI收割
来源：软件研究所
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