POSTER: Context-aware web security threat prevention

Lung Hao Lee, Yen Cheng Juan, Kuei Ching Lee, Wei Lin Tseng, Hsin Hsi Chen, Yuen Hsien Tseng

研究成果: 書貢獻/報告類型會議論文篇章同行評審

3 引文 斯高帕斯(Scopus)

摘要

This paper studies the feasibility of an early warning system that prevents users from the dangerous situations they may fall into during web surfing. Our approach adopts behavioral Hidden Markov Models to explore collective intelligence embedded in users' browsing behaviors for context-aware category prediction, and applies the results to web security threat prevention. Largescale experiments show that our proposed method performs accuracy 0.463 for predicting the fine-grained categories of users' next accesses. In real-life filtering simulations, our method can achieve macro-averaging blocking rate 0.4293 to find web security threats that cannot be detected by the existing security protection solutions at the early stage, while accomplishes a low macro-averaging over-blocking rate 0.0005 with the passage of time. In addition, behavioral HMM is able to alert users for avoiding security threats by 8.4 hours earlier than the current URL filtering engine does. Our simulations show that the shortening of this lag time is critical to avoid severe diffusions of security threats.

原文???core.languages.en_GB???
主出版物標題CCS'12 - Proceedings of the 2012 ACM Conference on Computer and Communications Security
頁面992-994
頁數3
DOIs
出版狀態已出版 - 2012
事件2012 ACM Conference on Computer and Communications Security, CCS 2012 - Raleigh, NC, United States
持續時間: 16 10月 201218 10月 2012

出版系列

名字Proceedings of the ACM Conference on Computer and Communications Security
ISSN(列印)1543-7221

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???event.eventtypes.event.conference???2012 ACM Conference on Computer and Communications Security, CCS 2012
國家/地區United States
城市Raleigh, NC
期間16/10/1218/10/12

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