Multivariate Public Key Cryptosystems (Advances in Information Security, 25)

Ding, Jintai; Gower, Jason E.; Schmidt, Dieter S.

ISBN 10: 1441940774 / ISBN 13: 9781441940773

Verlag: Springer, 2010

Beschreibung

Bestandsnummer des Verkäufers ABLIING23Mar2411530295566

Bibliografische Details

• Titel: Multivariate Public Key Cryptosystems (Advances in Information Security, 25)
• Verlag: Springer
• Erscheinungsjahr: 2010
• Sprache: Englisch
• ISBN-10: 1441940774
• ISBN-13: 9781441940773
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

Multivariate public key cryptosystems (MPKC) is a fast-developing area in cryptography. This book systematically presents the subject matter for a broad audience and is the first book to focus on this exciting new topic. Written more from a computational perspective, the authors provide the necessary mathematical theory behind MPKC, and students with some previous exposure to abstract algebra will be well-prepared to read and understand the material. Information security experts in industry can use the book as a guide for understanding what is needed to implement these cryptosystems for practical applications, and researchers in both computer science and mathematics will find it a good starting point for exploring this new field. It is also suitable as a textbook for advanced-level students.

Von der hinteren Coverseite

Multivariate public key cryptosystems (MPKC) is a fast-developing new area in cryptography. In the past 10 years, MPKC schemes have increasingly been seen as a possible alternative to number theoretic-based cryptosystems such as RSA, as they are generally more efficient in terms of computational effort. As quantum computers are developed, MPKC will become a necessary alternative.

Multivariate Public Key Cryptosystems systematically presents the subject matter for a broad audience. Information security experts in industry can use the book as a guide for understanding what is needed to implement these cryptosystems for practical applications, and researchers in both computer science and mathematics will find this book a good starting point for exploring this new field. It is also suitable as a textbook for advanced-level students. Written more from a computational perspective, the authors provide the necessary mathematical theory behind MPKC; students with some previous exposure to abstract algebra will be well-prepared to read and understand the material.