Security Analysis in Body Area Networks using Attribute-based Ring Signcryption Scheme

At present, Body Area Networks (BANs) are budding as one of the major research interests, predominantly in the field of personal health monitoring. In view of the fact that health data are extremely private and includes sensitive details, the security of data transmission inside a BAN turns out to be a critical issue that needs instant attention. In this study, Attribute-based Ring Signcryption Scheme (ARSS) is proposed for body area network security. The initial process of proposed system is preprocessed the patient’s dataset using Independent Component Analysis (ICA). Then interoperability is defined by semantics and the semantic interoperability among body area sensor networks is used Ant Colony Optimization based Fuzzy Ontology (ACO-FO). The ACO-FO is used to improve the interoperability of BAN system. Then the proposed ARSS is simultaneously providing the characteristics of message confidentiality, authentication, integrity, remembrance, non-repudiation, verifiability in public and forward secrecy of message confidentiality. ARSS can make use of any speedy and safe symmetric algorithm for the encryption of messages, it offers huge benefits in order to be employed in establishments involving security in the fields of health monitoring and while managing with resource constrained devices. Theoretically it proves that ARSS is efficient and feasible. And also its security level is analyzed and compared to existing Elliptic Curve Cryptography with Fuzzy Ontology (ECC with FO) signcryption and Fuzzy Attribute-Based Signcryption Schemes.