2010
DOI: 10.1016/j.micpro.2010.04.006
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A high performance ECC hardware implementation with instruction-level parallelism over GF(2163)

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Cited by 55 publications
(45 citation statements)
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“…The architectures have been implemented (placed and routed) on Xilinx Virtex4, Virtex5 and Virtex7 FPGA families resulting in the fastest reported implementations to date to the best knowledge of the authors. On the Virtex4 our ECC point multiplication over GF (2 163 ) takes 5.32 µs with 13418 slices -is faster than the fastest previously reported Virtex 4 design [14] and also faster than the fastest reported design to date (5.48 µs) which was on a Virtex 5 [13]. On Virtex5, our design over GF (2 163 ) is not only even faster at 4.91 µs but also smaller than that of [13].…”
Section: Discussionmentioning
confidence: 66%
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“…The architectures have been implemented (placed and routed) on Xilinx Virtex4, Virtex5 and Virtex7 FPGA families resulting in the fastest reported implementations to date to the best knowledge of the authors. On the Virtex4 our ECC point multiplication over GF (2 163 ) takes 5.32 µs with 13418 slices -is faster than the fastest previously reported Virtex 4 design [14] and also faster than the fastest reported design to date (5.48 µs) which was on a Virtex 5 [13]. On Virtex5, our design over GF (2 163 ) is not only even faster at 4.91 µs but also smaller than that of [13].…”
Section: Discussionmentioning
confidence: 66%
“…Our HPECC implementation on Virtex4 consumes 38% less area and shows 31% speed improvement. Again, our work uses less arithmetic (163 bit multiplier) resource to gain 2.33 times improvement in the area-time metric(Slices x Time x 10 -3 ) as compared to the work in [14]. In [16], the authors presented a high speed design that used 17929 slices to attain 9.60 µs for the point multiplication time; meanwhile, our proposed work on Virtex4 is 45% faster than that in [16] and consuming less area.…”
Section: Implementation Resultsmentioning
confidence: 94%
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“…In the double and add algorithm, the number of computations required in each iteration depends on the key bit and is easily prone to power analysis attacks. In the proposed hardware architecture the algorithm used for implementing the point multiplication unit is the Lopez -Dahab algorithm in [15]. The two major advantages of the Lopez-Dahab algorithm are (i) use of projective Figure 2.…”
Section: Ecpm Unitmentioning
confidence: 99%