Download Security for Cloud Storage Systems by Kan Yang, Xiaohua Jia PDF
By Kan Yang, Xiaohua Jia
Cloud garage is a crucial carrier of cloud computing, which bargains provider for info proprietors to host their facts within the cloud. This new paradigm of information website hosting and information entry prone introduces significant safety issues. the 1st is the security of knowledge integrity. facts proprietors won't absolutely belief the cloud server and fear that information saved within the cloud may be corrupted or maybe got rid of. the second one is information entry regulate. info vendors may perhaps fear that a few cheating servers offer information entry to clients that aren't authorised for revenue achieve and therefore they could now not depend upon the servers for entry keep watch over.
To guard the information integrity within the cloud, a good and safe dynamic auditing protocol is brought, that may aid dynamic auditing and batch auditing. to make sure the information defense within the cloud, effective and safe info entry regulate schemes are brought during this short: ABAC for Single-authority platforms and DAC-MACS for Multi-authority platforms. whereas Ciphertext-Policy Attribute-based Encryption (CP-ABE) is a promising process for entry keep watch over of encrypted info, the prevailing schemes can't be at once utilized to information entry keep watch over for cloud garage structures a result of characteristic revocation challenge. to unravel the characteristic revocation challenge, new Revocable CP-ABE tools are proposed in either ABAC and DAC-MACS.
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Extra resources for Security for Cloud Storage Systems
Example text
2. There exists a matrix M called the share-generating matrix for Π . The matrix M has l rows and n columns. For all i = 1, . . , l, the i-th row of M is labeled by a party ρ(i) (ρ is a function from {1, . . , l} to P). When we consider the column vector v = (s, r2 , . . , rn ), where s ∈ Zp is the secret to be shared and r2 , . . , rn ∈ Zp are randomly chosen, then Mv is the vector of l shares of the secret s according to Π . The share (Mv)i belongs to party ρ(i). Every linear secret sharing-scheme according to the above definition also enjoys the linear reconstruction property: Suppose that Π is a LSSS for the access structure A.
29–41. USENIX (2003) 16. : The NIST definition of cloud computing. Tech. report, National Institute of Standards and Technology (2009) 17. : The complexity of online memory checking. J. ACM 56(1), 1–46 (2009) 18. : Disk failures in the real world: What does an mttf of 1, 000, 000 hours mean to you. In: Proceedings of the 5th USENIX conference on file and storage technologies (FAST’07), pp. 1–16. USENIX (2007) 19. : Store, forget, and check: Using algebraic signatures to check remotely administered storage.
The number of sectors in each data block should be carefully selected. 7 Performance Analysis (a) 33 (b) Fig. 5 Comparison of computation cost on the server (s = 50). a Single owner, single cloud. b Single cloud, 5 blocks/owner reason, the size of the data element should not be larger than the security parameter. In TSAS and Zhu’s IPDP, the data element is the data sector, thus the size of each data sector is fixed according to the security parameter. For a constant size data (M) component M, the number of data blocks can be calculated as n = sizeof s·log p , where s is the number of sectors in the data block and p is the security parameter.