FPGA Enactment of Biological Feature Based Authentication Algorithm Using Elliptic Curve Cryptography for IoT Communication

In the modern medical environment, the Internet of Things-enabled devices helps physicians to control and remotely monitor the device involved in the healthcare sector. Here Biological features such as DNA strands are best suitable to store and share a large number of patient’ s sensitive data in encrypted form and also help to provide a higher level of security. Traditional Rivest Shamir Adleman cryptographic-based authentication algorithms have security problems and cannot able to hold a large amount of data, also require more memory, latency, and computational speed. To overcome the above limitations, biological feature-based lightweight Elliptic Curve Cryptography-based authentication is developed for resource-constrained IoT communication. The proposed ECCbased authentication and integrity checking architecture consists of internal error control coding technique. It generates the DNA code and appends it with an encrypted message to strengthen the authentication process. Here ECC is used to encrypt the original plaintext, achieves greater security to authenticate IoT devices, and consumes fewer resources such as memory, area, and power.