Visible to the public An Attribute-Based Searchable Encryption Scheme Supporting Trapdoor Updating

TitleAn Attribute-Based Searchable Encryption Scheme Supporting Trapdoor Updating
Publication TypeConference Paper
Year of Publication2018
AuthorsXu, J., Ying, C., Tan, S., Sun, Z., Wang, P., Sun, Z.
Conference Name2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
KeywordsAccess Control, attribute-based searchable encryption, attribute-based searchable encryption scheme, attribute-based searchable encryption schemes, authorisation, Ciphertext, cloud computing, cloud computing environment, cloud storage, composability, cryptography, CSES-TU, data files, data privacy, Encryption, fine-grained access control, online-offline keyword guessing attack, online/offline keyword guessing attack, pubcrawl, resilience, Resiliency, search problems, Searchable encryption, Servers, trapdoor updating
AbstractIn the cloud computing environment, a growing number of users share their own data files through cloud storage. However, there will be some security and privacy problems due to the reason that the cloud is not completely trusted, so it needs to be resolved by access control. Attribute-based encryption (ABE) and searchable encryption (SE) can solve fine-grained access control. At present, researchers combine the two to propose an attribute-based searchable encryption scheme and achieved remarkable results. Nevertheless, most of existing attribute-based searchable encryption schemes cannot resist online/offline keyword guessing attack. To solve the problem, we present an attribute-based (CP-ABE) searchable encryption scheme that supports trapdoor updating (CSES-TU). In this scheme, the data owner can formulate an access strategy for the encrypted data. Only the attributes of the data user are matched with the strategy can the effective trapdoor be generated and the ciphertext be searched, and that this scheme will update trapdoors at the same time. Even if the keywords are the same, new trapdoors will be generated every time when the keyword is searched, thus minimizing the damage caused by online/offline keyword guessing attack. Finally, the performance of the scheme is analyzed, and the proof of correctness and security are given at the same time.
Citation Keyxu_attribute-based_2018