Title :
Public-Key Encryption with Fuzzy Keyword Search: A Provably Secure Scheme under Keyword Guessing Attack
Author :
Peng Xu ; Hai Jin ; Qianhong Wu ; Wei Wang
Author_Institution :
Services Comput. Technol. & Syst. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
Public-key encryption with keyword search (PEKS) is a versatile tool. It allows a third party knowing the search trapdoor of a keyword to search encrypted documents containing that keyword without decrypting the documents or knowing the keyword. However, it is shown that the keyword will be compromised by a malicious third party under a keyword guess attack (KGA) if the keyword space is in a polynomial size. We address this problem with a keyword privacy enhanced variant of PEKS referred to as public-key encryption with fuzzy keyword search (PEFKS). In PEFKS, each keyword corresponds to an exact keyword search trapdoor and a fuzzy keyword search trapdoor. Two or more keywords share the same fuzzy keyword trapdoor. To search encrypted documents containing a specific keyword, only the fuzzy keyword search trapdoor is provided to the third party, i.e., the searcher. Thus, in PEFKS, a malicious searcher can no longer learn the exact keyword to be searched even if the keyword space is small. We propose a universal transformation which converts any anonymous identity-based encryption (IBE) scheme into a secure PEFKS scheme. Following the generic construction, we instantiate the first PEFKS scheme proven to be secure under KGA in the case that the keyword space is in a polynomial size.
Keywords :
data privacy; document handling; fuzzy set theory; public key cryptography; IBE scheme; KGA; PEFKS; anonymous identity-based encryption scheme; encrypted documents; fuzzy keyword search trapdoor; keyword guessing attack; keyword privacy; provably secure scheme; public-key encryption; universal transformation; Encryption; Keyword search; Public key; Receivers; Servers; Public-key encryption with keyword search; identity-based encryption; keyword guessing attack; public-key encryption with fuzzy keyword search;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.2012.215