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Titlebook: Security, Privacy, and Applied Cryptography Engineering; 8th International Co Anupam Chattopadhyay,Chester Rebeiro,Yuval Yarom Conference p

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书目名称Security, Privacy, and Applied Cryptography Engineering
副标题8th International Co
编辑Anupam Chattopadhyay,Chester Rebeiro,Yuval Yarom
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Security, Privacy, and Applied Cryptography Engineering; 8th International Co Anupam Chattopadhyay,Chester Rebeiro,Yuval Yarom Conference p
描述.This book constitutes the refereed proceedings of the 8th International Conference on Security, Privacy, and Applied Cryptography Engineering, SPACE 2018, held in Kanpur, India, in December 2018.. The 12 full papers presented were carefully reviewed and selected from 34 submissions. This annual event is devoted to various aspects of security, privacy, applied cryptography, and cryptographic engineering. This is indeed a very challenging field, requiring the expertise from diverse domains, ranging from mathematics to solid-state circuit design..
出版日期Conference proceedings 2018
关键词applied cryptography; artificial intelligence; authentication; bits; block ciphers; case based reasoning;
版次1
doihttps://doi.org/10.1007/978-3-030-05072-6
isbn_softcover978-3-030-05071-9
isbn_ebook978-3-030-05072-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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Template-Based Fault Injection Analysis of Block Ciphers,rm of side-channel analysis in the cryptographic literature, the use of templates in the context of fault attacks has not yet been explored to the best of our knowledge. Our approach involves two phases. The first phase is a profiling phase where we build templates of the fault behavior of a cryptog
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NEON SIKE: Supersingular Isogeny Key Encapsulation on ARMv7, state-of-the-art implementation techniques and processor capabilities to efficiently develop post-quantum key encapsulation scheme on 32-bit ARMv7 Cortex-A processors. We benchmark our results on two popular ARMv7-powered cores. Our benchmark results show significant performance improvement of the
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A Machine Vision Attack Model on Image Based CAPTCHAs Challenge: Large Scale Evaluation,ve a Turing-test challenge (commonly known as a CAPTCHA) before using the service. A CAPTCHA is a cryptographic protocol whose underlying hardness assumption is based on an artificial intelligence problem. CAPTCHAs challenges rely on the problem of distinguishing images of living or non-living objec
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