Fog computing based public key encryption with multi-keyword search for Internet of vehicles

• Published in: Journal of parallel and distributed computing Vol. 204; p. 105131
• Main Authors: Banik, Mandira, Kumar, Sanjay
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.10.2025
• Subjects: Fog computing; Forward security; Internet of vehicles; Multi-search; Fog computing; Forward security; Multi-search; Internet of vehicles
• ISSN: 0743-7315
• DOI: 10.1016/j.jpdc.2025.105131

Fog-based computation is an interesting computing paradigm developed for giving end users access to real-time services in the Internet of Vehicles (IoV). Achieving safe and effective data sharing is a huge challenge in such a dynamic system architecture. As a promising cryptographic primitive, searchable encryption (SE) aims to maintain data searchability while maintaining data confidentiality. Nonetheless, the majority of current methods are open to attacks by leaking exploitation. So, we develop a fog-based searchable public key encryption scheme (FC-PEMKS) that achieves forward security and multi-keyword search in the IoV network. The security proof shows that our model achieves the indistinguishability of trapdoor and keyword index. The outcomes of the comparative simulations and performance analysis demonstrate the viability and effectiveness of the FC-PEMKS scheme in fog-enabled vehicular networks. •Fog computing enhances the total performance and efficiency of our model.•We implemented forward security in our scheme for privacy protection of data.•FC-PEMKS scheme supports multi-keyword search and designated tester facility.•Our model fulfils Keyword and trapdoor indistinguishability.•Our model is resistant to KGA and authenticates data before decryption.