Using AI and Blockchain to Create Secure and Transparent Energy Records

Torres-Cruz F.; Colque J.P.B.; Patro E.K.R.; Bhongade A.C.; Nijhawan G.; Mohan C.R. · Recent Trends in Engineering and Science for Resource Optimization and Sustainable Development (2025) · DOI: 10.1201/9781003596721-28

Resumen

The basis of this study addresses issues encountered during data distribution in traditional VENs-Vehicular Energy Networks, such as insufficient security, invasion of individual details, dearth of confidence among car owners, and so on. In this research, a blockchain-oriented announcement platform for VENs is presented to enable trustworthy and secure energy data distribution in the suggested system. The data supplied by the cars are kept in the IPFS-Interplanetary File System of artificial intelligence, which is integrated with the roadside unit. This guarantees that expenses of storage and energy data accessibility have been reduced. Furthermore, the confidentiality of vehicle owners is protected by disguising the true names of the automobiles. Furthermore, the hash values of the energy data record in IPFS have been recorded in BC on the third tier. Multiple simulations show that creating a hash of energy data record on the BC system reduces the computation duration by 15-18% and storage overhead by 80-85%, accordingly, when contrasted with putting actual energy data on the system.

Instituciones: Universidad Nacional del Altiplano