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A Classical Introduction to Cryptography: Applications for Communications Security introduces fundamentals of information and communication security by providing appropriate mathematical concepts to prove or break the security of cryptographic schemes.
This advanced-level textbook covers conventional cryptographic primitives and cryptanalysis of these primitives; basic algebra and number theory for cryptologists; public key cryptography and cryptanalysis of these schemes; and other cryptographic protocols, e.g. secret sharing, zero-knowledge proofs and undeniable signature schemes.
A Classical Introduction to Cryptography: Applications for Communications Security is designed for upper-level undergraduate and graduate-level students in computer science. This book is also suitable for researchers and practitioners in industry. A separate exercise/solution booklet is available as well, please go to www.springeronline.com under author: Vaudenay for additional details on how to purchase this booklet.
Table des matières
Prehistory of Cryptography.- Conventional Cryptography.- Dedicated Conventional Cryptographic Primitives.- ?Conventional Security Analysis.- Security Protocols with Conventional Cryptography.- Algorithmic Algebra.- Algorithmic Number Theory.- ?Elements of Complexity Theory.- Public-Key Cryptography.- Digital Signature.- ?Cryptographic Protocols.- From Cryptography to Communication Security.
Résumé
A Classical Introduction to Cryptography: Applications for Communications Security introduces fundamentals of information and communication security by providing appropriate mathematical concepts to prove or break the security of cryptographic schemes.
This advanced-level textbook covers conventional cryptographic primitives and cryptanalysis of these primitives; basic algebra and number theory for cryptologists; public key cryptography and cryptanalysis of these schemes; and other cryptographic protocols, e.g. secret sharing, zero-knowledge proofs and undeniable signature schemes.
A Classical Introduction to Cryptography: Applications for Communications Security is designed for upper-level undergraduate and graduate-level students in computer science. This book is also suitable for researchers and practitioners in industry. A separate exercise/solution booklet is available as well, please go to www.springeronline.com under author: Vaudenay for additional details on how to purchase this booklet.
Texte suppl.
From the reviews:
"This impressive hardback introduces fundamentals of information and communications security by providing mathematical concepts to prove or break the security of cryptographic schemes. … The book is designed for upper-level undergraduates and graduate level students in computer science. This comprehensive volume is also suitable for researchers and practitioners in industry." (Cryptologia, Vol. 30, 2006)
"This book presents, using a chronological order, both conventional cryptography and public-key cryptography, as well as the two sides of cryptanalysis: adversary modelling and proof reduction. … This advanced-level textbook is recommended for those interested in cryptography and its applications: students, researchers, computer scientists, mathematicians, engineers, and practitioners in industry." (Michael M. Dediu, Mathematical Reviews, Issue 2007 b)
Commentaire
From the reviews:
"This impressive hardback introduces fundamentals of information and communications security by providing mathematical concepts to prove or break the security of cryptographic schemes. ... The book is designed for upper-level undergraduates and graduate level students in computer science. This comprehensive volume is also suitable for researchers and practitioners in industry." (Cryptologia, Vol. 30, 2006)
"This book presents, using a chronological order, both conventional cryptography and public-key cryptography, as well as the two sides of cryptanalysis: adversary modelling and proof reduction. ... This advanced-level textbook is recommended for those interested in cryptography and its applications: students, researchers, computer scientists, mathematicians, engineers, and practitioners in industry." (Michael M. Dediu, Mathematical Reviews, Issue 2007 b)
