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Titlebook: Cyber Security, Cryptology, and Machine Learning; 7th International Sy Shlomi Dolev,Ehud Gudes,Pascal Paillier Conference proceedings 2023

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書(shū)目名稱(chēng)Cyber Security, Cryptology, and Machine Learning
副標(biāo)題7th International Sy
編輯Shlomi Dolev,Ehud Gudes,Pascal Paillier
視頻videohttp://file.papertrans.cn/242/241772/241772.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Cyber Security, Cryptology, and Machine Learning; 7th International Sy Shlomi Dolev,Ehud Gudes,Pascal Paillier Conference proceedings 2023
描述This book constitutes the refereed proceedings of the 7th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2023, held in Be‘er Sheva, Israel, in June 2023..The 21 full and 15 short papers were carefully reviewed and selected from 70 submissions. They deal with the theory, design, analysis, implementation, and application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas..
出版日期Conference proceedings 2023
關(guān)鍵詞communication systems; computer crime; computer networks; computer security; cryptography; machine learni
版次1
doihttps://doi.org/10.1007/978-3-031-34671-2
isbn_softcover978-3-031-34670-5
isbn_ebook978-3-031-34671-2Series 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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https://doi.org/10.1007/3-540-33359-2rder-optimal by comparing our sum-rate with the . channel state information (CSI) model and numerically evaluate how our system scales with an increasing number of active devices and signal-to-noise ratio (SNR).
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,Pseudo-random Walk on?Ideals: Practical Speed-Up in?Relation Collection for?Class Group Computation each ideal to be tested. We have made Magma implementations of both the new algorithm and Gélin’s algorithm. Timing results confirm that there is indeed a substantial practical speed-up in relation collection by the new algorithm over Gélin’s algorithm.
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CANdito: Improving Payload-Based Detection of Attacks on Controller Area Networks,AN from the detection and temporal performances to comply with the strict automotive domain requirements. We evaluate CANdito by comparing its performance against state-of-the-art Intrusion Detection Systems (IDSs) for in-vehicle network and a comprehensive set of synthetic and real attacks in real-world CAN datasets.
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Robust Group Testing-Based Multiple-Access Protocol for Massive MIMO,rder-optimal by comparing our sum-rate with the . channel state information (CSI) model and numerically evaluate how our system scales with an increasing number of active devices and signal-to-noise ratio (SNR).
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