Visible to the public Multi-keyword Ranked Searchable Encryption Supporting CP-ABE Test

TitleMulti-keyword Ranked Searchable Encryption Supporting CP-ABE Test
Publication TypeConference Paper
Year of Publication2019
AuthorsWu, Chuxin, Zhang, Peng, Liu, Hongwei, Liu, Yuhong
Conference Name2019 Computing, Communications and IoT Applications (ComComAp)
Date PublishedOct. 2019
PublisherIEEE
ISBN Number978-1-7281-1973-1
Keywordsciphertext searching, ciphertext-policy attribute-based encryption, ciphertext-policy attribute-based encryption test, cloud computing, Collaboration, CP-ABE, CP-ABE test, cryptography, data privacy, encrypted data, Encryption, Frequency modulation, Indexes, Internet of Things, IoT devices, multi-keyword search, multikeyword ranked searchable encryption, policy-based governance, program testing, pubcrawl, ranked search, Scalability, Searchable encryption, text analysis
Abstract

Internet of Things (IoT) and cloud computing are promising technologies that change the way people communicate and live. As the data collected through IoT devices often involve users' private information and the cloud is not completely trusted, users' private data are usually encrypted before being uploaded to cloud for security purposes. Searchable encryption, allowing users to search over the encrypted data, extends data flexibility on the premise of security. In this paper, to achieve the accurate and efficient ciphertext searching, we present an efficient multi-keyword ranked searchable encryption scheme supporting ciphertext-policy attribute-based encryption (CP-ABE) test (MRSET). For efficiency, numeric hierarchy supporting ranked search is introduced to reduce the dimensions of vectors and matrices. For practicality, CP-ABE is improved to support access right test, so that only documents that the user can decrypt are returned. The security analysis shows that our proposed scheme is secure, and the experimental result demonstrates that our scheme is efficient.

URLhttps://ieeexplore.ieee.org/document/9018822
DOI10.1109/ComComAp46287.2019.9018822
Citation Keywu_multi-keyword_2019