IMPROVED AND PROFICIENT ATTRIBUTE BASED ENCRYPTION MODEL FOR WIRELESS BODY AREA SENSOR NETWORKS

Abstract: Wireless body area networks plays major rolein the medical field especially in monitoring of patient health and regulating it gradually. In recent times, Wireless BSN got higher attention among the researchers. But, major difficulties in this techniques is making perfect link between user and sensors. In this paper, we propose a secure data communication model for BAN by creating a secure the data exchange between the sensors(devices) and users (medical representatives) using enhanced Attribute Based Encryption (ABE) model. Initially, the data users get enrolled with communication between data sink and data consumer is efficiently improved under Key Generation Center. Node authentication is the process carried out for easier data retrieval and prevention of collusion attacks. Simulation analysis is processed under pre-defined set of sensor nodes and attributes. Time consumption is an evaluation metric studied for system parameters initialization, generation of secret keys, encryption and decryption. The results show that our scheme is scalable irrespective of increased users and their attributes. Our proposed model is scalable and stable in healthcare applications. their attributes. This attribute is further used for building efficient data communication process. The secure Keywords: Wireless body area networks, data communication model, healthcare applications, Key Generation Center and Time analysis.