Attention Makers

CATEGORY: EDUCATION

Low power Lightweight Cryptosystems for IoT devices

MAKERS: tarun COUNTRY: India

In today?s technology, ever increasing number of electronics applications require secure communication, i.e. iot devices The ECDH algorithm is found to be better than others in power and area (90nm)

The Purpose

In today?s technology, ever increasing number of electronics applications require secure communication, for example the IoT devices. ECDH Algorithm has emerged as an attractive and effective public-key cryptosystem. Elliptic curves are widely used in various key exchange techniques that include the Diffie-Hellman Key agreement scheme. When contrasted with conventional cryptosystems like RSA, ECC offers equivalent security with smaller key sizes, which results in lower power consumption, speedier calculations, and also lower memory and transmission capacity reserve. This is particularly valid and helpful for applications like IoT gadgets, which are regularly constrained regarding their CPU processing speed, power, and area. This work includes the software and hardware implementation of ECDH, RSA, DH

The Technology

The proposed work also involves analysis of power, performance, area, and their comparisons thereof. The comparison is based on metrics obtained, after implementing the algorithms in synopsys using 90 nm UMC Faraday library. The ECDH algorithm is found to be better than others as far as power and area are concerned.

Additional Details

This Project?s primary focus is on lightweight yet robust & low power algorithm for encryption and decryption using key exchange algorithm. While exploring several algorithms for the purpose, we focused on Diffie-Hellman, Rivest-ShamirAdleman , and Elliptic curve cryptography. We have proposed an improvement in computation of modulus of fractional numbers used in ECC methodology. We performed crypt-analysis alongside comprehensive power/performance analysis. The comparison is based on various metrics obtained, after implementing the algorithms in hardware using Synopsys CAD suite using 90 nm UMC Faraday library. The ECDH algorithm is found to be better than others as far as power and area are concerned.

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