This book offers a mathematical foundation for modern cryptography. It is primarily intended as an introduction for graduate students. Readers should have basic knowledge of probability theory, but familiarity with computational complexity is not required. Starting from Shannon's classic result on secret key cryptography, fundamental topics of cryptography, such as secret key agreement, authentication, secret sharing, and secure computation, are covered. Particular attention is drawn to how correlated randomness can be used to construct cryptographic primitives. To evaluate the efficiency of such constructions, information-theoretic tools, such as smooth min/max entropies and information spectrum, are developed. The broad coverage means the book will also be useful to experts as well as students in cryptography as a reference for information-theoretic concepts and tools.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Himanshu Tyagi is an associate professor with the Department of Electrical Communication Engineering at the Indian Institute of Science, Bangalore. A specialist in information theory, his current research focuses on blockchains for crowdsourced networks, distributed statistics under information constraints, and privacy for federated learning data pipelines. He has served as an associate editor for the 'IEEE Transactions on Information Theory' and has been awarded the Indian National Science Academy (INSA) Young Scientist medal for 2020.
Shun Watanabe is an associate professor with the Department of Computer and Information Sciences at the Tokyo University of Agriculture and Technology. His research focuses on the intersection of information theory and cryptography. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and served as an associate editor of the journal 'IEEE Transactions on Information Theory' from 2016 to 2020.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. This book offers a mathematical foundation for modern cryptography. It is primarily intended as an introduction for graduate students. Readers should have basic knowledge of probability theory, but familiarity with computational complexity is not required. Starting from Shannon's classic result on secret key cryptography, fundamental topics of cryptography, such as secret key agreement, authentication, secret sharing, and secure computation, are covered. Particular attention is drawn to how correlated randomness can be used to construct cryptographic primitives. To evaluate the efficiency of such constructions, information-theoretic tools, such as smooth min/max entropies and information spectrum, are developed. The broad coverage means the book will also be useful to experts as well as students in cryptography as a reference for information-theoretic concepts and tools. This introductory graduate coursebook offers a mathematical foundation for modern cryptography. Coverage includes secret key agreement, authentication, secret sharing, and secure computation. The book will also serve experts in the field as a reference for information-theoretic tools such as smooth min/max entropies and information spectrum. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781108484336
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