Multiauthority Attribute-Based Keyword Search over Cloud-Edge-End Collaboration in IoV

Abstract

The development of cloud computing and edge computing makes it possible to store and share Internet of Vehicles (IoV) data on a large scale, which greatly contributes to traffic intelligence, but outsourced data confidentiality and user privacy cannot be guaranteed. The Ciphertext Policy Attribute-Based Encryption (CP-ABE) scheme can achieve both fine-grained access control and secure data sharing. However, existing CP-ABE schemes owns high computational complexity, and the adopted single attribute authority mode is burdensome to resource-limited IoV. Thus, this paper proposes a Multiauthority Attribute-Based Keyword Search over Cloud-Edge-End Collaboration (CEABKS-MA) system, leveraging the benefits of edge and cloud resources and effectively combining with the multiauthority structure to minimize the computation and storage pressure on resource-limited parties in the system. In addition, fine-grained keyword search with support for attribute update and lightweight encryption/decryption is extended. Finally, this paper demonstrates the security and efficiency of the CEABKS-MA system through rigorous security analysis and simulation experiments.