Advances in Cryptology - CRYPTO 2016 36th Annual International Cryptology Conference, Santa Barbara, CA, USA, August 14-18, 2016, Proceedings, Part I / [electronic resource] : edited by Matthew Robshaw, Jonathan Katz. - XIII, 685 p. 114 illus. online resource. - Lecture Notes in Computer Science, 9814 0302-9743 ; . - Lecture Notes in Computer Science, 9814 .

Provable security for symmetric cryptography -- Asymmetric cryptography and cryptanalysis -- Cryptography in theory and practice -- Compromised systems -- Symmetric cryptanalysis -- Algorithmic number theory -- Symmetric primitives -- Asymmetric cryptography -- Symmetric cryptography -- Cryptanalytic tools -- Hardware-oriented cryptography -- Secure computation and protocols -- Obfuscation -- Quantum techniques -- Spooky encryption -- IBE, ABE, and functional encryption -- Automated tools and synthesis -- Zero knowledge -- Theory.

The three volume-set, LNCS 9814, LNCS 9815, and LNCS 9816, constitutes the refereed proceedings of the 36th Annual International Cryptology Conference, CRYPTO 2016, held in Santa Barbara, CA, USA, in August 2016. The 70 revised full papers presented were carefully reviewed and selected from 274 submissions. The papers are organized in the following topical sections: provable security for symmetric cryptography; asymmetric cryptography and cryptanalysis; cryptography in theory and practice; compromised systems; symmetric cryptanalysis; algorithmic number theory; symmetric primitives; asymmetric cryptography; symmetric cryptography; cryptanalytic tools; hardware-oriented cryptography; secure computation and protocols; obfuscation; quantum techniques; spooky encryption; IBE, ABE, and functional encryption; automated tools and synthesis; zero knowledge; theory.

9783662530184

10.1007/978-3-662-53018-4 doi


Computer science.
Computer security.
Data encryption (Computer science).
Algorithms.
Computer science--Mathematics.
Management information systems.
Computer Science.
Data Encryption.
Systems and Data Security.
Algorithm Analysis and Problem Complexity.
Management of Computing and Information Systems.
Discrete Mathematics in Computer Science.

QA76.9.A25

005.82