M, Raj MohanRaj MohanMAchary, Rathnakar2026-03-272026-03-272021-06https://gnanaganga.alliance.edu.in/handle/123456789/10027Cloud-Fog Computing is a novel worldview to expand the usefulness of distributed computing to give an assortment of on-request information administrations through the edge Computing. Numerous cryptographic devices have been acquainted with protect information privacy against the deceitful organization and cloud workers. Be that as it may, how to productively recognize and recover valuable information from an enormous number of code messages without an exorbitant unscrambling instrument stays a difficult issue. In this paper, we present a cloud-mist gadget information sharing framework (CFDS) with information classification and information source recognizable proof at the same time dependent on another cryptographic crude named matchmaking trait based encryption (MABE) by expanding matchmaking encryption in CRYPTO'19. Our answer offers a protected fine-grained respective access control that incorporates (1) finegrained sender access control; (2) fine-grained collector access control; (3) sender security; and (4) execution improvement through rethinking information source distinguishing proof to mist hubs. We give the conventional definition and security models of MABE, and present a substantial development with formal security verifications. We additionally offer an itemized security investigation of our proposed CFDS against genuine security dangers. The broad examination and trial reenactment show that, by moving weighty responsibility to mist hubs, our plan has preferable functionalities and exhibitions over the most related arrangements.enCloud-Fog ComputingFog NodesCloud Layertext::report