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Titlebook: Recent Advances in Intrusion Detection; 12th International S Engin Kirda,Somesh Jha,Davide Balzarotti Conference proceedings 2009 Springer-

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书目名称Recent Advances in Intrusion Detection
副标题12th International S
编辑Engin Kirda,Somesh Jha,Davide Balzarotti
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Recent Advances in Intrusion Detection; 12th International S Engin Kirda,Somesh Jha,Davide Balzarotti Conference proceedings 2009 Springer-
描述On behalf of the Program Committee, it is our pleasure to present the p- ceedings of the 12th International Symposium on Recent Advances in Intrusion Detection systems (RAID 2009),which took place in Saint-Malo,France, during September 23–25. As in the past, the symposium brought together leading - searchers and practitioners from academia, government, and industry to discuss intrusion detection research and practice. There were six main sessions prese- ingfullresearchpapersonanomalyandspeci?cation-basedapproaches,malware detection and prevention, network and host intrusion detection and prevention, intrusion detection for mobile devices, and high-performance intrusion det- tion. Furthermore, there was a poster session on emerging research areas and case studies. The RAID 2009ProgramCommittee received59 full paper submissionsfrom all over the world. All submissions were carefully reviewed by independent - viewers on the basis of space, topic, technical assessment, and overall balance. The ?nal selection took place at the Program Committee meeting on May 21 in Oakland, California. In all, 17 papers were selected for presentation and p- lication in the conference proceedings. As a co
出版日期Conference proceedings 2009
关键词anomaly detection; attack prevention; classification; digital biometrics; fingerprint; fingerprinting; fir
版次1
doihttps://doi.org/10.1007/978-3-642-04342-0
isbn_softcover978-3-642-04341-3
isbn_ebook978-3-642-04342-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

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Panacea: Automating Attack Classification for Anomaly-Based Network Intrusion Detection SystemsAnomaly-based intrusion detection systems are usually criticized because they lack a classification of attacks, thus security teams have to manually inspect any raised alert to classify it. We present a new approach, Panacea, to automatically and systematically classify attacks detected by an anomaly-based network intrusion detection system.
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An Experimental Study on Instance Selection Schemes for Efficient Network Anomaly Detectionhm, aiming at limiting the size of training dataset, thus reducing the computational cost of them, as well as boosting their detection performance. We report our experimental results on several classic network anomaly detection algorithms by using the network traffic trace collected from a real network environment.
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Conference proceedings 2009Detection systems (RAID 2009),which took place in Saint-Malo,France, during September 23–25. As in the past, the symposium brought together leading - searchers and practitioners from academia, government, and industry to discuss intrusion detection research and practice. There were six main sessions
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