Linear Congruence Generator and Chaos Based Encryption Key Generation for Medical Data Security in IoT Based Health Care System

Abstract

In the healthcare industry privacy and security of patient’s information is the most crucial issue at present. Considering current legal regulations, every healthcare organization should impose a prominent security technique to maintain a secure electronic health records system. On the other hand the realization of Internet of Things is the most notable advancement in the field of computer science and electronics. The healthcare services have increased with the help of IoT. Now-a-days security flaws on patient’s information are a significant issue in healthcare system. Electronics health record i.e., collection of health related information are sensitive in nature so, it is very significant to impose an advanced security techniques in the system. Here we have focused on security issue like technical safeguards. Our technique proposes a modified logistic map and linear congruence based security model for securing the diagnostics data of patients and an authentication technique. For encryption and decryption two keys are used which are intermediate key, and session key. The modified logistic map is the backbone of our work. This new approach of key generation provides beauty as well as extra robustness in our technique. The different types of experiments and their results conforms that our technique is very secure and efficient for data transmission in medical sector.