Enhanced Data Privacy in Cyber-physical System Using Improved Chacha20 Algorithm

Abstract Physical objects and infrastructure are connected with every single other and to the internet by incorporating sensing, control, computation, along with networking into them by the Cyber-Physical System (CPS). The CPS’s security along with privacy is a significant issue in recent days. To trounce the limits of current centralized solutions, in addition, to address the aforementioned issues, there is a requirement to build up a new mechanism for access control, which retains data integrity; thus, the right to access data is granted or revoked devoid of any failures. Thus, authentication, access control, and encryption mechanisms are the effectual security controls proposed here. Firstly, in the authentication phase, data user and data owner generate their identity. By utilizing the user information, random points are created at the time of registration for secure authentication. The data are collected along with amassed in the cyber system after authentication. Prior to storing, by utilizing the Cosine Similarity-centered Farthest First Clustering (CSFFC) methodology, the data are clustered; then, by employing Improved Chacha20 Algorithm (ICC), the clustered data are encrypted; after that, by deploying the Modified Secure Hashing Algorithm (SHA-256), the data's location from where it has been gathered is hashed. Lastly, to the server, the encrypted data along with the hash value is transferred and are amassed in the CPS. Next, the data user forwards the request to the CPS for accessing the data; this system, by utilizing several security control techniques, offers the requested data to the authenticated user. To exemplify the proposed model's efficacy, experiential outcomes are provided.