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Titlebook: Recent Advances in Intrusion Detection; 14th International S Robin Sommer,Davide Balzarotti,Gregor Maier Conference proceedings 2011 Spring

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发表于 2025-3-21 18:04:31 | 显示全部楼层 |阅读模式
书目名称Recent Advances in Intrusion Detection
副标题14th International S
编辑Robin Sommer,Davide Balzarotti,Gregor Maier
视频video
概述Up-to-date results.Fast-track conference proceedings.State-of-the-art research
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Recent Advances in Intrusion Detection; 14th International S Robin Sommer,Davide Balzarotti,Gregor Maier Conference proceedings 2011 Spring
描述This book constitutes the proceedings of the 14th International Symposium on Recent Advances in Intrusion Detection, RAID 2011, held in Menlo Park, CA, USA in September 2011. The 20 papers presented were carefully reviewed and selected from 87 submissions. The papers are organized in topical sections on application security; malware; anomaly detection; Web security and social networks; and sandboxing and embedded environments.
出版日期Conference proceedings 2011
关键词communications security; cryptographic primitives; malicious Websites; network integrity; secure network
版次1
doihttps://doi.org/10.1007/978-3-642-23644-0
isbn_softcover978-3-642-23643-3
isbn_ebook978-3-642-23644-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2011
The information of publication is updating

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Robin Sommer,Davide Balzarotti,Gregor MaierUp-to-date results.Fast-track conference proceedings.State-of-the-art research
发表于 2025-3-22 07:15:42 | 显示全部楼层
Conference proceedings 2011, USA in September 2011. The 20 papers presented were carefully reviewed and selected from 87 submissions. The papers are organized in topical sections on application security; malware; anomaly detection; Web security and social networks; and sandboxing and embedded environments.
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Recent Advances in Intrusion Detection978-3-642-23644-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Banksafe Information Stealer Detection Inside the Web Browserffectiveness of our solution with evaluations of the detection and classification of samplesets consisting of several malware families targetting the Microsoft Windows operating system. Furthermore we show the effective prevention of possible false positives of the approach.
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Die Free or Live Hard? Empirical Evaluation and New Design for Fighting Evolving Twitter Spammerss well as our proposed ones. Through our experiments, we show that our new designed features are effective to detect Twitter spammers, achieving a much higher detection rate than three state-of-the-art approaches [35,32,34] while keeping an even lower false positive rate.
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