Privacy Preserved Healthcare System for Wireless Body Area Networks

Today's era is camouflaged with various types of technologies and gadgets that are significantly dealing with sports, entertainment, military; where an enormous data is generated through sensors. Wireless body area networks is a technology that aggregates the patient data store into the server via a communication route. To secure the patient's physiological data, identity, and location information. This paper presents a model based on Elliptic Curve Cryptography (ECC) for securing the patient information where the Trusted Third Party (TTP) works on the K-anonymity parameter with K-1 dummy query users to maintain the confidentiality of the data and location privacy of the user. Our result shows that ECC is an encryption technique with a small key size, exhibits fast encryption, and provide more security than RSA. It is efficiently preserving the real-time location of the user. ECC is more scalable and good for hand hold devices with more computing power and better storage than RSA. The experimental results of the proposed scenario show the performance matrix including encryption time, decryption time, message size varies with K- anonymity parameter value.