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Titlebook: Computer Security – ESORICS 2024; 29th European Sympos Joaquin Garcia-Alfaro,Rafał Kozik,Sokratis Katsika Conference proceedings 2024 The E

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书目名称Computer Security – ESORICS 2024
副标题29th European Sympos
编辑Joaquin Garcia-Alfaro,Rafał Kozik,Sokratis Katsika
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computer Security – ESORICS 2024; 29th European Sympos Joaquin Garcia-Alfaro,Rafał Kozik,Sokratis Katsika Conference proceedings 2024 The E
描述.This four-volume set LNCS 14982-14985 constitutes the refereed proceedings of the 29th European Symposium on Research in Computer Security, ESORICS 2024, held in Bydgoszcz, Poland, during September 16–20, 2024...The 86 full papers presented in these proceedings were carefully reviewed and selected from 535 submissions. They were organized in topical sections as follows:..Part I: Security and Machine Learning...Part II: Network, Web, Hardware and Cloud; Privacy and Personal Datat Protection...Part III: Software and Systems Security; Applied Cryptopgraphy...Part IV: Attacks and Defenses; Miscellaneous..
出版日期Conference proceedings 2024
关键词Privacy and personal data protection; Software and systems security; AI and ML for security; Security o
版次1
doihttps://doi.org/10.1007/978-3-031-70896-1
isbn_softcover978-3-031-70895-4
isbn_ebook978-3-031-70896-1Series 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
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https://doi.org/10.1007/978-3-031-25211-2ety alerts. Specifically, onboard diagnostics (OBD) based mobile applications directly communicate with the in-vehicle network through the OBD device. This can lead to several security issues, for instance, onboard information of vehicles can be tracked or altered through a malicious or vulnerable a
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Perfectness of ,-generalized Join of Graphst in the source code. We collect a vast amount of malicious source code from Underground Forums posts, Underground Forum code attachments, and GitHub repositories and devise a methodology that allows us to filter out most auxiliary code, leaving the measurement to focus on malicious code. We leverag
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Some Position Problems for Graphslnerabilities, the binary prediction outcomes offer limited support for accurate debugging and pinpointing vulnerabilities across different types. Additionally, the prevalent use of homogeneous GNN training has constrained the ability to effectively model the diverse relationships existing between c
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Bounds and Algorithms for Geodetic Hulls. Existing approaches that rely solely on Bluetooth specification have failed to bridge the gap between documentation and implemented devices. Therefore, they struggle to (1) precisely generate state machines for target devices and (2) accurately track states during the fuzzing process, resulting in
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