Hybrid parallel partial model for robust & secure authentication in healthcare IoT environments
Shailja Dahiya, Manoj Kumar Bohra · 2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) · 2017
The authentication models are utilized among the various network based applications, between various homogeneous and heterogeneous network appliances, Internet of things (IoT) applications, Healthcare applications, etc. The authentication models relies upon the encryption models for the protection of data during the propagation of the keys over the communication media. A weak encryption method may lower the security level of authentication model. The complex encryption models are also considered slower, which eventually increase the authentication delay and decreases the overall performance of authentication models. In this paper, a robust, quick and complex encryption model has been proposed model, which have been defined as the parallel partial model (PPM). The PPM algorithm is capable of keeping the higher level security, while decreased the authentication delay. The PPM method collaborates the improved Advanced Encryption Standard (iAES) and modified Elliptic Curve Cryptography (mECC) to fulfill the need to secure and quick encryption algorithm. The proposed model has been undergone various experimental scenarios, where it has been found improved than the existing model in the terms of bit difference, overall time and average time.