Cryptosystem execution of VLSI signed RNS multipliers. This item is unavailable.
Language: English
Published by LAP LAMBERT Academic Publishing, 2023
- Softcover
- New

Unavailable
Softcover
Condition: New
£ 45.25
Item description from seller
Cryptosystem execution of VLSI signed RNS multipliers | Debasis Mukherjee | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206173366 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Seller Inventory # 127199080
- Title
- Cryptosystem execution of VLSI signed RNS multipliers
- Author
- Debasis Mukherjee
- Publisher
- LAP LAMBERT Academic Publishing
- Publication year
- 2023
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 6206173364
- ISBN 13
- 9786206173366
- Item weight
- 161 grams
- Dimensions
- 220 x 150 x 6 mm
- Seller catalogs
- Bücher
This book explores the VLSI implementation of signed Residue Number System (RNS) multipliers for efficient and secure cryptographic operations. It covers topics such as the background, objectives, and motivations for the research. The book provides an overview of VLSI implementation for cryptosystems, delves into the properties and advantages of RNS, and discusses moduli selection techniques. It explores conversion techniques for signed numbers to RNS representation and highlights the importance of efficient multiplication in cryptosystems. The book compares different multiplication techniques and analyzes their performance. It discusses VLSI design techniques for signed RNS multipliers, including parallelism, hardware acceleration, and error detection. The trade-offs between speed, resource utilization, and power consumption are examined. The book presents case studies, comparative analysis, and real-world applications of signed RNS multipliers. It discusses performance metrics, evaluation techniques, and future directions in VLSI technology for cryptographic systems. The book concludes by summarizing key findings and contributions.
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