DocumentCode
3511167
Title
Public Key Encryption with Ranked Multi-keyword Search
Author
Chengyu Hu ; Pengtao Liu
Author_Institution
Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
fYear
2013
fDate
9-11 Sept. 2013
Firstpage
109
Lastpage
113
Abstract
It is necessary for the cloud server to allow multi-keyword query and provide result ranking to effectively retrieve data from the large number of encrypted data stored in the cloud storage. A related work that support privacy preserving ranked multi-keyword search over encrypted cloud data (MRSE) is not in public-key model. In this paper, the definition of an extension of PEKS called Public-Key Encryption with Ranked Multi-Keyword Search(PERMKS) is proposed, which means that the receiver could query any subset of keywords and the number of queried keywords appearing in the data can be provided which evaluate the similarity ranking of the data to the search query. Then, a construction of public-key encryption with ranked multikeyword search scheme with sub-linear cipher texts based on anonymous hierarchical identity-based encryption (AHIBE) is put forward and its security is analyzed.
Keywords
cloud computing; public key cryptography; query processing; storage management; AHIBE; PERMKS model; anonymous hierarchical identity-based encryption; cloud server; cloud storage; data similarity ranking; encrypted cloud data; multikeyword query; privacy preserving ranked multikeyword search; public key encryption with ranked multikeyword search model; search query; sublinear cipher texts; Cloud computing; Encryption; Keyword search; Public key; Vectors; Public Key; Ranked Multi-Keyword Search; Searchable Encryption;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networking and Collaborative Systems (INCoS), 2013 5th International Conference on
Conference_Location
Xi´an
Type
conf
DOI
10.1109/INCoS.2013.24
Filename
6630394
Link To Document