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Titlebook: Detection of Intrusions and Malware, and Vulnerability Assessment; 19th International C Lorenzo Cavallaro,Daniel Gruss,Giorgio Giacinto Con

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书目名称Detection of Intrusions and Malware, and Vulnerability Assessment
副标题19th International C
编辑Lorenzo Cavallaro,Daniel Gruss,Giorgio Giacinto
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Detection of Intrusions and Malware, and Vulnerability Assessment; 19th International C Lorenzo Cavallaro,Daniel Gruss,Giorgio Giacinto Con
描述This book constitutes the proceedings of the 19th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2022, held in Cagliari, Italy, in June – July 2021.. The 10 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 39 submissions. 
出版日期Conference proceedings 2022
关键词artificial intelligence; computer crime; computer hardware; computer networks; computer programming; comp
版次1
doihttps://doi.org/10.1007/978-3-031-09484-2
isbn_softcover978-3-031-09483-5
isbn_ebook978-3-031-09484-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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,Establishing the Contaminating Effect of Metadata Feature Inclusion in Machine-Learned Network Intrbe removed prior to training. Unfortunately many published articles include (at least) one such metadata feature in their models, namely destination port. In this article, it is shown experimentally that this feature acts as a prime target for shortcut learning. When used as the only predictor, dest
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,VANDALIR: Vulnerability Analyses Based on Datalog and LLVM-IR,ive regarding both development time and runtime performance. During the last years, domain specific languages like Datalog have gained popularity as they simplify the development process of analyses and rule sets dramatically. Similarly, intermediate representations like LLVM-IR are used to facilita
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,Branch Different - Spectre Attacks on Apple Silicon,ocuses on .86 CPUs, with only very few insights on ARM CPUs, despite their huge market share. In this paper, we focus on the ARMv8-based Apple CPUs and demonstrate a reliable Spectre attack. For this, we solve several challenges specific to Apple CPUs and their operating system. We systematically ev
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