PHYSIOLOGICAL VALUE BASED PRIVACY PRESERVATION OF PATIENT'S DATA USING ELLIPTIC CURVE CRYPTOGRAPHY

Body Sensor Network (BSN) is a suitable combination of wearable tiny devices attached to patient’s body. Their purpose is to monitor patient’s physiological data (or BSN data) values. Sensors continuously monitor and collect patient’s data and send it to a remote server through a network. This server can be called Database Server (DBS). DBS collect and stores the received patient’s medical data which can be later used for any medical emergency by the Healthcare provider. Further, patient’s data may be used to educate medical students, to provide data for medical research and analysis. Since the patient’s physiological data are highly sensitive and BSN is very susceptible to attacks, therefore, it must be ensured that patient identity should not be exposed and altered as well as patient’s data should not fall into hands of unauthorized users. Hence, maintaining privacy of patient’s data over the network is an important aspect. So communication between BSN and DBS has to be secure. A strong security mechanism should be applied to maintain patient’s privacy and confidentiality. This paper proposes information security of physiological data which flow through network which is highly susceptible to attack and unauthorized access. Paper proposing physiological value based Encryption and Mutual Authentication (PVEMA) mechanism to enable mutual authentication and data encryption for a patient’s physiological data. The work used practical approach of Elliptic Curve Cryptography (ECC), Message Authentication Code and Symmetric Encryption Scheme for maintaining the confidentiality, authenticity and integrity of patient’s data through previous stored physiological value.