Efficient Implementation of NIST-Compliant Elliptic Curve Cryptography for 8-bit AVR-Based Sensor Nodes PROJECT TITLE :Efficient Implementation of NIST-Compliant Elliptic Curve Cryptography for 8-bit AVR-Based Sensor NodesABSTRACT:In this paper, we tend to introduce a highly optimized software implementation of standards-compliant elliptic curve cryptography (ECC) for wireless sensor nodes equipped with an 8-bit AVR microcontroller. We tend to exploit the state-of-the-art optimizations and propose novel techniques to more push the performance envelope of a scalar multiplication on the NIST P-192 curve. To illustrate the performance of our ECC software, we have a tendency to develope the prototype implementations of various cryptographic schemes for securing Communication during a wireless sensor network, including elliptic curve Diffie-Hellman (ECDH) key exchange, the elliptic curve digital signature algorithm (ECDSA), and also the elliptic curve Menezes-Qu-Vanstone (ECMQV) protocol. We tend to get record-setting execution times for fixed-base, point variable-base, and double-base scalar multiplication. Compared with the connected work, our ECDH key exchange achieves a performance gain of roughly twenty sevenpercent over the simplest previously printed result using the NIST P-192 curve on the identical platform, whereas our ECDSA performs twice as fast as the ECDSA implementation of the well-known TinyECC library. We have a tendency to conjointly evaluate the impact of Karatsuba's multiplication technique on the overall execution time of a scalar multiplication. In addition to providing high performance, our implementation of scalar multiplication encompasses a highly regular execution profile, which helps to protect against sure side-channel attacks. Our results show that NIST-compliant ECC can be implemented efficiently enough to be appropriate for resource-constrained sensor nodes. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest A Fast Superresolution Image Reconstruction Algorithm Disturbance Ratio for Optimal Multi-Event Classification in Power Distribution Networks