Title :
Efficient public integrity checking for cloud data sharing with multi-user modification
Author :
Jiawei Yuan ; Shucheng Yu
Author_Institution :
Dept. of Comput. Sci., Univ. of Arkansas at Little Rock, Little Rock, AR, USA
fDate :
April 27 2014-May 2 2014
Abstract :
In past years a body of data integrity checking techniques have been proposed for securing cloud data services. Most of these works assume that only the data owner can modify cloud-stored data. Recently a few attempts started considering more realistic scenarios by allowing multiple cloud users to modify data with integrity assurance. However, these attempts are still far from practical due to the tremendous computational cost on cloud users. Moreover, collusion between misbehaving cloud servers and revoked users is not considered. This paper proposes a novel data integrity checking scheme characterized by multi-user modification, collusion resistance and a constant computational cost of integrity checking for cloud users, thanks to our novel design of polynomial-based authentication tags and proxy tag update techniques. Our scheme also supports public checking and efficient user revocation and is provably secure. Numerical analysis and extensive experimental results show the efficiency and scalability of our proposed scheme.
Keywords :
cloud computing; data integrity; groupware; polynomials; security of data; cloud data services security; cloud data sharing; cloud-stored data; collusion resistance; computational cost; data integrity checking; multiuser modification; numerical analysis; polynomial-based authentication tags; proxy tag update techniques; public integrity checking; Algorithm design and analysis; Authentication; Computational efficiency; Polynomials; Radio frequency; Servers;
Conference_Titel :
INFOCOM, 2014 Proceedings IEEE
Conference_Location :
Toronto, ON
DOI :
10.1109/INFOCOM.2014.6848154