DocumentCode
1845442
Title
Efficient Hardware for Modular Exponentiation using the Sliding-Window Method with Variable-Length Partitioning
Author
Nedjah, Nadia ; Mourelle, L.
Author_Institution
Dept. of Electron. Eng. & Telecommun., State Univ. of Rio de Janeiro, Rio de Janeiro
fYear
2008
fDate
18-21 Nov. 2008
Firstpage
1980
Lastpage
1985
Abstract
Modular exponentiation is an essential arithmetic operation for various applications, such as cryptography. The performance of this operations has a tremendous impact on the efficiency of the whole application. Therefore, many researchers devoted special interest to providing smart methods and efficient implementation for that operation. One of these methods is the sliding-window method, which pre-processes the exponent into zero and non-zero partitions. Zero partitions allow for a reduction of the number of modular multiplications required in the exponentiation process. In this paper, we devise two novel hardware designs for computing modular exponentiation using the sliding-window method: one uses the constant-length non-zero partitions strategy (CLNZ) and the other uses the variable-length non-zero partitions strategy (VLNZ). The implementations are compared to existing hardware implementations of the modular exponentiation using the performance factor area times time.
Keywords
digital arithmetic; logic design; public key cryptography; arithmetic operation; constant-length nonzero partition strategy; modular exponentiation hardware design; modular multiplication; public-key cryptosystem; sliding-window method; variable-length nonzero partitions strategy; variable-length partitioning; Digital arithmetic; Hardware; Heart; NP-complete problem; Partitioning algorithms; Public key; Public key cryptography; Systems engineering and theory; Telecommunication computing; Cryptography; M-ary method; Modular exponentiation; Sliding-window method;
fLanguage
English
Publisher
ieee
Conference_Titel
Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
Conference_Location
Hunan
Print_ISBN
978-0-7695-3398-8
Electronic_ISBN
978-0-7695-3398-8
Type
conf
DOI
10.1109/ICYCS.2008.421
Filename
4709277
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