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{ "item_title" : "Multivariate Public Key Cryptosystems", "item_author" : [" Jintai Ding", "Jason E. Gower", "Dieter S. Schmidt "], "item_description" : "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/44/194/077/1441940774_b.jpg", "price_data" : { "retail_price" : "129.99", "online_price" : "129.99", "our_price" : "129.99", "club_price" : "129.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Multivariate Public Key Cryptosystems|Jintai Ding

Multivariate Public Key Cryptosystems

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Overview

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.

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Details

  • ISBN-13: 9781441940773
  • ISBN-10: 1441940774
  • Publisher: Springer
  • Publish Date: November 2010
  • Dimensions: 9.25 x 6.1 x 0.59 inches
  • Shipping Weight: 0.87 pounds
  • Page Count: 260

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