Title: MT-DIPS: a new data duplication integrity protection scheme for multi-tenants sharing storage in SaaS

Authors: Lin Li; Yongxin Zhang; Yanhui Ding

Addresses: School of Mathematics Science, Shandong Normal University, Jinan, China ' School of Mathematics Science, Shandong Normal University, Jinan, China; Shandong Provincial Key Laboratory of Software Engineering, Jinan, China ' School of Information Science and Engineering, Shan-dong Normal University, Jinan, China

Abstract: In SaaS, the data sharing storage mode and tenant isolation requirement present new challenge to traditional remote data duplication protection schemes. This paper aims at the new requirement of tenant data duplication protection in SaaS and presents a tuple sampling-based tenant duplication protection mechanism MT-DIPS (Duplication Integrity Protection Scheme for Multi-Tenants). Instead of data block sampling, MT-DIPS accommodates the data isolation requirement of different tenants by sampling tenants physical data tuples. Through periodical random sampling, MT-DIPS reduces the complexity on service provider side of verification object construction and eliminates the resource waste. Analysis and the experimental results show that if the damage rate of tenant data tuples is about 1%, the random sampling data number is about 5% of the total number of tuples. MT-DIPS makes use of homomorphism labels with auxiliary authentication structure to allow trusted third party verification without disclosing tenant data to relieve the verification burden on tenants' client sides.

Keywords: SaaS; multi-tenant; duplication; integrity authentication; cloud computing.

DOI: 10.1504/IJGUC.2018.090223

International Journal of Grid and Utility Computing, 2018 Vol.9 No.1, pp.26 - 36

Available online: 28 Feb 2018

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