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- W2088410003 abstract "We investigated client honeypots for detecting and circumstantially analyzing drive-by download attacks. A client honeypot requires both improved inspection performance and in-depth analysis for inspecting and discovering malicious websites. However, OS overhead in recent client honeypot operation cannot be ignored for improving honeypot multiplication performance. We propose a client honeypot client system that uses our proposed multi-OS and multi-process honeypot multiplication approaches and implemented this system to evaluate its performance. Our process sandbox mechanism, a security measure for our multi-process approach, creates a virtually isolated environment for each web browser. In a field trial, we confirmed that the use of our multi-process approach was three or more times faster than that of a single process and [our multi-OS approach lineally improved system performance according to the number of honeypot instances. Thus, our proposed multiplication approaches improve performance efficiency and enables in-depth analysis on high interaction systems." @default.
- W2088410003 created "2016-06-24" @default.
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- W2088410003 date "2012-07-01" @default.
- W2088410003 modified "2023-10-18" @default.
- W2088410003 title "Scalable and Performance-Efficient Client Honeypot on High Interaction System" @default.
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- W2088410003 doi "https://doi.org/10.1109/saint.2012.15" @default.
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