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Revisiting the ECM-KEEM protocol with Vedic multiplier for enhanced speed on FPGA platforms

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The rapid deployment of software, such as online banking, stock trading and corporate remote access, has seen tremendous growth in the amount of sensitive data shared over the internet in… Click to show full abstract

The rapid deployment of software, such as online banking, stock trading and corporate remote access, has seen tremendous growth in the amount of sensitive data shared over the internet in recent years. In addition, these internet hosts are predominantly battery-powered, portable, handheld devices with stringent memory, CPU, latency and bandwidth limitations. This paper discusses the design of modern elliptic curve cryptographic (ECC) high-speed architecture using field-programmable gate array (FPGA) technique for elliptic curve based multi level key exchange and encryption mechanism (ECM-KEEM) protocol. Different safety levels are applied to the data path to investigate the outcome of the results and to find maximum protection for the higher bits of data. Three complex security algorithms are used to upgrade the mathematical hardness of the designed system by incorporating the novel functions for secret key exchange. The field arithmetic in the prime field curve secp256k1 used in the designed architecture achieves a time period of 0.3 microseconds and 0.8 microseconds by conventional multipliers and Vedic multipliers respectively on various Xilinx Virtex-6 FPGA platform. Alongside the same design is implemented and analyzed with Virtex-7 and Kintex-7 platforms for the better performance to verify the improved implementation efficiency with Vedic multiplier based design. The latest trends in the e-gadgets needs an effective, scalable security mechanisms and protocols with efficient hardware architecture are clearly needed that function well in both wired and wireless environments.

Keywords: revisiting ecm; fpga; speed; ecm keem; vedic multiplier; keem protocol

Journal Title: Journal of Ambient Intelligence and Humanized Computing
Year Published: 2021

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