Enhancing Security and Privacy in Wireless Medical Sensor Networks Through Blockchain-Enabled Edge Computing

The convenience of patient treatment has substantially increased with the development of wireless medical sensor networks. Through the development of wireless medical sensor networks, there has been a significant rise in the convenience of patient treatment. A single cloud server, on the other hand, is responsible for managing considerable amounts of medical data, and these networks commonly employ public channels that are prone to instability for the transfer of data. As a consequence of this, individuals are concerned about the security of communication, the protection of privacy, significant vulnerabilities, the massive processing burden placed on the cloud server and the increasing latency surface. On top of that, the bulk of the uncertified aggregate signature methods that are currently in use have difficulty defending themselves against key assaults that only use specific keys. In order to provide an uncertified parallel key-isolated aggregate signature architecture, this research makes use of edge computing and blockchain technology in wireless medical sensor networks. The goal of this implementation is to overcome the issues that have been described previously. Through the incorporation of an edge computing architecture into the cutting-edge framework, the operations of signature verification and aggregation are brought closer to the end users. This technique reduces the amount of computational work that needs to be done on the primary cloud server while simultaneously improving the protection of patient confidentiality. By combining the advantages of uncertified and key-isolated technologies, the proposed method eliminates the need for difficult certificate management, key storage, and exposure problems. Under the random oracle paradigm, this work demonstrates that the suggested method is resistant against attacks of Type I and Type II, as well as attacks that involve totally picked keys. When compared to analogous uncertified signature systems, performance analysis demonstrates that this solution has the potential to cut computational costs by at least 74.03% and communication overhead by at least 25%. As a result of the implementation of blockchain technology, the network’s medical data transfers have become even more trustworthy and secure.