Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10098)
Part of the book sub series: Security and Cryptology (LNSC)
Included in the following conference series:
Conference proceedings info: LightSec 2016.
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About this book
The 9 full papers presented were carefully reviewed and selected from 18 submissions. The papers are organized in the following topical sections: cryptanalysis, lightweight designs, implementation challenges.
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Keywords
- cryptography
- formal methods and theory of security
- security and privacy
- security in hardware
- systems security
- authenticated encryption
- block and stream ciphers
- cryptanalysis and other attacks
- differential attack
- FPGA
- hardware attacks and countermeasures
- hardware security implementation
- hash functions and message authentication codes
- lightweight cipher
- physically unclonable function
- public key (asymmetric) techniques
- security services
- side-channel analysis and countermeasures
- SoC
- symmetric cryptography and hash functions
Table of contents (9 papers)
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Cryptanalysis
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Lightweight Designs and Implementations
Other volumes
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Lightweight Cryptography for Security and Privacy
Editors and Affiliations
Bibliographic Information
Book Title: Lightweight Cryptography for Security and Privacy
Book Subtitle: 5th International Workshop, LightSec 2016, Aksaray, Turkey, September 21-22, 2016, Revised Selected Papers
Editors: Andrey Bogdanov
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-55714-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-55713-7Published: 09 March 2017
eBook ISBN: 978-3-319-55714-4Published: 07 March 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VII, 149
Number of Illustrations: 34 b/w illustrations
Topics: Cryptology, Systems and Data Security, Coding and Information Theory, Memory Structures, Artificial Intelligence