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Implementing Elliptic Curve Cryptography

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Manning Publications Co.
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Implementing Elliptic Curve Cryptography
Michael Rosing

1998 | 330 pages
ISBN: 1884777694
$47.95 Softbound print book  

Sample Chapters

The formulas and images in Elliptic Curve Cryptography make conversion to HTML impractical, so we've converted Chapter 5 to PDF format for you to sample.

You can read PDF files with Adobe's Acrobat Reader version 3 or better, available at

http://www.adobe.com/prodindex/acrobat/readstep.html.

DESCRIPTION

Implementing Elliptic Curve Cryptography proceeds step-by-step to explain basic number theory, polynomial mathematics, normal basis mathematics and elliptic curve mathematics. With these in place, applications to cryptography are introduced. The book is filled with C code to illustrate how mathematics is put into a computer, and the last several chapters show how to implement several cryptographic protocols. The most important is a description of P1363, an IEEE draft standard for public key cryptography.

The main purpose of Implementing Elliptic Curve Cryptography is to help "crypto engineers" implement functioning, state-of-the-art cryptographic algorithms in the minimum time. With detailed descriptions of the mathematics, the reader can expand on the code given in the book and develop optimal hardware or software for their own applications.

Implementing Elliptic Curve Cryptography assumes the reader has at least a high school background in algebra, but it explains, in stepwise fashion, what has been considered to be a topic only for graduate-level students.

WHAT THE EXPERTS SAY ABOUT THIS BOOK...

"The book provides all the theory and working programs needed to create real applications based on the latest IEEE P1363 standard."
--Reviewed in Cryptologia

ABOUT THE AUTHOR...

With a background that includes nuclear engineering, hardware computer design, and telephony, Michael Rosing has seen how cryptography plays an important role in military and commercial applications. At present he is employed building DSP hardware for brain research at the University of Wisconsin in Madison.

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