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'Institute of Electrical and Electronics Engineers (IEEE)'
Doi
Abstract
β Using cloud-based storage service, users can
remotely store their data to clouds but also enjoy the high quality
data retrieval services, without the tedious and cumbersome local
data storage and maintenance. However, the sole storage service
cannot satisfy all desirable requirements of users. Over the last
decade, privacy-preserving search over encrypted cloud data has
been a meaningful and practical research topic for outsourced
data security. The fact of remote cloud storage service that
users cannot have full physical possession of their data makes
the privacy data search a formidable mission. A naive solution
is to delegate a trusted party to access the stored data and
fulfill a search task. This, nevertheless, does not scale well in
practice as the fully data access may easily yield harm for user
privacy. To securely introduce an effective solution, we should
guarantee the privacy of search contents, i.e., what a user wants
to search, and return results, i.e., what a server returns to the
user. Furthermore, we also need to guarantee privacy for the
outsourced data, and bring no additional local search burden
to user. In this paper, we design a novel privacy-preserving
functional encryption-based search mechanism over encrypted
cloud data. A major advantage of our new primitive compared
with the existing public key based search systems is that it
supports an extreme expressive search mode, regular language
search. Our security and performance analysis show that the
proposed system is provably secure and more efficient than some
searchable systems with high expressiveness
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