| Title | Searchable Ciphertext-Policy Attribute-Based Encryption with Multi-Keywords for Secure Cloud Storage |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Zhao, Zhiyuan, Sun, Lei, Li, Zuohui, Liu, Ying |
| Conference Name | Proceedings of the 2018 International Conference on Computing and Pattern Recognition |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-6471-3 |
| Keywords | attribute based encryption, ciphertext-policy attribute-based encryption, cloud computing, Collaboration, Human Behavior, Keyword search, Multi-keywords, policy-based governance, pubcrawl, Scalability |
| Abstract | Searchable encryption is one of the most important techniques for the sensitive data outsourced to cloud server, and has been widely used in cloud storage which brings huge convenience and saves bandwidth and computing resources. A novel searchable cryptographic scheme is proposed by which data owner can control the search and use of the outsourced encrypted data according to its access control policy. The scheme is called searchable ciphertext-policy attribute-based encryption with multikeywords (CPABMKS). In the scheme, CP-ABE and keywords are combined together through the way that the keywords are regarded as the file attributes. To overcome the previous problems in cloud storage, access structures are hidden so that receivers cannot extract sensitive information from the ciphertext. At the same time, this scheme supports the multi-keywords search, and the data owner can outsource the encryption operations to the private cloud that can reduce the data owner' calculation. The security of this scheme is proved based on the DBDH assumption. Finally, scheme evaluation shows that the CPABMKS scheme is practical |
| URL | http://doi.acm.org/10.1145/3232829.3232844 |
| DOI | 10.1145/3232829.3232844 |
| Citation Key | zhao_searchable_2018 |
Searchable Ciphertext-Policy Attribute-Based Encryption with Multi-Keywords for Secure Cloud Storage