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Titlebook: Research in Attacks, Intrusions, and Defenses; 20th International S Marc Dacier,Michael Bailey,Manos Antonakakis Conference proceedings 201

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發(fā)表于 2025-3-21 18:13:30 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Research in Attacks, Intrusions, and Defenses
副標題20th International S
編輯Marc Dacier,Michael Bailey,Manos Antonakakis
視頻videohttp://file.papertrans.cn/828/827937/827937.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Research in Attacks, Intrusions, and Defenses; 20th International S Marc Dacier,Michael Bailey,Manos Antonakakis Conference proceedings 201
描述This book constitutes the refereed conference proceedings of the 20.th. ?International Symposium on Research in Attacks, Intrusions, and Defenses, RAID 2017, held in Atlanta, GA, USA, in September 2017. .The 21 revised full papers were selected from 105 submissions. They are organized in the following topics: software security, intrusion detection, systems security, android security, cybercrime, cloud security, network security..
出版日期Conference proceedings 2017
關鍵詞Android security; applied computing; clustering; computer crime; computer networks; cryptography; cybercri
版次1
doihttps://doi.org/10.1007/978-3-319-66332-6
isbn_softcover978-3-319-66331-9
isbn_ebook978-3-319-66332-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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發(fā)表于 2025-3-21 23:54:10 | 只看該作者
Research in Attacks, Intrusions, and Defenses978-3-319-66332-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
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VDF: Targeted Evolutionary Fuzz Testing of Virtual Deviceseen virtual devices implemented within the QEMU hypervisor, executing over two billion test cases and revealing over one thousand unique crashes or hangs in one third of the tested devices. Our custom test case minimization algorithm further reduces the erroneous test cases into only 18.57% of the original sizes on average.
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發(fā)表于 2025-3-22 23:40:48 | 只看該作者
ILAB: An Interactive Labelling Strategy for Intrusion Detectionble with a real-world annotation project carried out on a large unlabelled NetFlow dataset originating from a production environment. We provide an open source implementation (.) to allow security experts to label their own datasets and researchers to compare labelling strategies.
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發(fā)表于 2025-3-23 02:18:05 | 只看該作者
Android Malware Clustering Through Malicious Payload Miningique and an efficient bit-vector format to represent Android apps. Experimental results demonstrate that our clustering approach achieves precision of 0.90 and recall of 0.75 for Android Genome malware dataset, and average precision of 0.98 and recall of 0.96 with respect to manually verified ground-truth.
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