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Dual-basis superserial multipliers for secure applications and lightweight cryptographic architectures
, Article IEEE Transactions on Circuits and Systems II: Express Briefs ; Vol. 61, Issue. 2 , February , 2014 , pp. 125-129 ; ISSN: 15497747 ; Mozaffari Kermani, M ; Azarderakhsh, R ; Lee, C. Y ; Sharif University of Technology
Abstract
Cryptographic algorithms utilize finite-field arithmetic operations in their computations. Due to the constraints of the nodes which benefit from the security and privacy advantages of these algorithms in sensitive applications, these algorithms need to be lightweight. One of the well-known bases used in sensitive computations is dual basis (DB). In this brief, we present low-complexity superserial architectures for the DB multiplication over GF (2m). To the best of our knowledge, this is the first time that such a multiplier is proposed in the open literature. We have performed complexity analysis for the proposed lightweight architectures, and the results show that the hardware complexity...
Efficient and concurrent reliable realization of the secure cryptographic SHA-3 algorithm
, Article IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ; Vol. 33, issue. 7 , July , 2014 , p. 1105-1109 ; 0278-0070 ; Mozaffari-Kermani, M ; Reyhani-Masoleh, A ; Sharif University of Technology
Abstract
The secure hash algorithm (SHA)-3 has been selected in 2012 and will be used to provide security to any application which requires hashing, pseudo-random number generation, and integrity checking. This algorithm has been selected based on various benchmarks such as security, performance, and complexity. In this paper, in order to provide reliable architectures for this algorithm, an efficient concurrent error detection scheme for the selected SHA-3 algorithm, i.e., Keccak, is proposed. To the best of our knowledge, effective countermeasures for potential reliability issues in the hardware implementations of this algorithm have not been presented to date. In proposing the error detection...