Security Improvement and Privacy Preservation in E-Health

Abstract

In today’s world, all things are connected and influencing the existing applications. The E-Health domain extensively adopts IoT and presents new healthcare services and medical facilities. However, the major hurdle is improving security and preserving the patients’ privacy. Many security/privacy- preserving models and protocols are proposed but prone to adversarial attacks. Our objective is to improve their security and ensure lightweight complexity for the low-powered and limited memory device. In this paper, we improve security using four critical steps. The effectivity of random number generation is improved, which defines the current security level in cryptography. A new technique is proposed utilising timestamp for handling a replay attack. We ensure strong forward security using the Elliptic Curve Discrete Logarithm Problem (ECDLP), making it challenging for an adversary to decode the security parameters. Finally, it is ensured that the hash function’s bits maintain the entropy of the key involved in the security model. Thus, the proposed model preserves privacy as well as improves the security of the E-Health model