Zero-Knowledge Proofs for Ensuring Secure Data Sharing in Body Area Network Systems

Abstract

Body Area Network (BAN) systems ensure that physically integrated wearable and implantable biomedical devices are networked to make health monitoring possible. However, one of the major difficult issues that researchers and practicing health professionals have continued to face is protecting identified sensitive health information while at the same time addressing the consumer's right to privacy. ZHIs can offer significant benefits to assist BAN systems improve data security and privacy by enabling one party to prove the possession of certain information without revealing it to another party. This study focuses on the BAN into which ZKPs are incorporated to enhance the security of authentication, access, and data sharing among the stakeholders that include the healthcare givers and patients. Through the use of ZKPs, the proposed approach ensures that only the right people can prove the authenticity of the health data without revealing the data hence reducing on the risk of data leakage and other related issues. COVERY is specifically designed to have a low computational overhead for BAN devices by utilizing the ZKP technique. In this case, following a discussion of the proposed scheme, the simulation and real-world mode of the scheme are carried out and analyzed to determine its effectiveness and feasibility. The BAN systems enhanced through the integration of ZKP are found to enhance the data privacy of a network, decrease the attack angles and also ensure faster transfer of data securely in a healthcare network. This paper discusses how ZKPs can be adopted as a revolutionary solution for achieving privacy-preserving solutions in healthcare.