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

Über die Autorin bzw. den Autor

Jintai Ding is a Charles Phelps Taft professor at the Department of Mathematical Sciences at the University of Cincinnati. He received B.A. from Xian Jiao tong University in 1988, M.A. from the University of Science and Technology of China in 1990 and PhD from Yale in 1995. He was a lecturer at the Research Institute of Mathematical Sciences of Kyoto University from 1995 to 1998. He has been at the University of Cincinnati since 1998. In 2006-2007, he was a visiting professor and Alexander von Humboldt Fellow at TU Darmstadt. He received the Zhong Jia Qing Prize from the Chinese Mathematical Society in 1990 for his Master Thesis on proving a conjecture by C. L. Siegel. His research was originally in quantum affine algebras and its representation theory, where he was credited for the invention of the Ding-Iohara-Miki algebra. His current interest is in post-quantum cryptography, in particular, multivariate cryptography, latticed-based cryptography and quantum-proof blockchain. Hewas a co-chair of the 2nd, 10th and 11th international conference on post-quantum cryptography. He and his colleagues developed the Rainbow signature, the GUI HFEv- signature, the Simple Matrix encryption and the LWE-based key exchange schemes. Rainbow is a second round candidate for the NIST post-quantum standardization process. He and his students completely broke a NIST second round post-quantum signature candidate LUOV.

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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.