Privacy-Preserving Market for Smart Grid Data Trading

Autor:	Ritesh Mohan Acharya, Manickavasagam Parvathy Selvan
Rok vydání:	2020
Předmět:	Information privacy Computer science business.industry Big data Homomorphic encryption Computer security computer.software_genre Padding Smart grid Data exchange Smart city Scale (social sciences) business computer
Zdroj:	2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON).
DOI:	10.1109/upcon50219.2020.9376520
Popis:	Smart grid and smart city, propelled by Internet of Things (IoT) technologies, are generating big data of an unprecedented scale. The smart grid data plays an important role in managing the smart grid. However, the present smart grid infrastructure lacks in managing and trading of such big data. This paper addresses the issue of data exchange between different entities of the smart grid. By combining homomorphic encryption (HE) with one-time padding procedure, a secure data trading framework has been proposed. The proposed data trading framework is not only providing security but also privacy preserving in nature.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::471d79c1b293a0e6512ee0745694f007 https://doi.org/10.1109/upcon50219.2020.9376520 Zobrazit plný text záznamu