Download Security for Cloud Storage Systems by Kan Yang, Xiaohua Jia PDF
By Kan Yang, Xiaohua Jia
Cloud garage is a vital carrier of cloud computing, which deals carrier for info vendors to host their info within the cloud. This new paradigm of information web hosting and information entry providers introduces significant defense issues. the 1st is the safety of knowledge integrity. facts proprietors would possibly not absolutely belief the cloud server and fear that facts saved within the cloud may be corrupted or perhaps got rid of. the second one is info entry keep an eye on. facts vendors could fear that a few cheating servers offer facts entry to clients that aren't approved for revenue achieve and therefore they could not depend on the servers for entry regulate.
To safeguard the information integrity within the cloud, a good and safe dynamic auditing protocol is brought, which could help dynamic auditing and batch auditing. to make sure the knowledge safeguard within the cloud, effective and safe facts entry keep watch over schemes are brought during this short: ABAC for Single-authority structures and DAC-MACS for Multi-authority platforms. whereas Ciphertext-Policy Attribute-based Encryption (CP-ABE) is a promising procedure for entry keep watch over of encrypted information, the prevailing schemes can't be at once utilized to facts entry regulate for cloud garage platforms end result of the 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
Sample text
Proof Because the data are encrypted by owners, it is obvious that the server cannot decrypt the data without the owners’ secret key. The secret hash key and the secret tag key are kept secret to the server and the server cannot deduce them based on the received information during the auditing procedure. Therefore, the data and the secret tag key are confidential against the server in the auditing protocols. On the auditor side, it can only get the product of all the challenged data tags from the tag proof TP.
G(a ) , g(a q q+2 ) , . . , g(a ∀1≤j≤q gs·bj , ga/bj , . . , g(a q /b j) ∀1≤j,k≤q,k=j ga·s·bk /bj , . . , g(a 2q ) , g(a q ·s·b q+2 /b k /bj ) j) , . . , g(a 2q /b j) ), q+1 it must be hard to distinguish a valid tuple e(g, g)a s ∈ GT from a random element R in GT . An algorithm B that outputs z ∈ {0, 1} has advantage ε in solving q-parallel BDHE in G if Pr[B(y, T = e(g, g)a q+1 s ) = 0] − Pr[B(y, T = R) = 0] ≥ ε. 3 The decisional q-parallel BDHE assumption holds if no polynomial time algorithm has a non-negligible advantage in solving the q-parallel BDHE problem.
Note that for unauthorized sets, no such constants {wi } exist. 3 Bilinear Pairing Let G1 , G2 and GT be three multiplicative groups with the same prime order p. A bilinear map is a map e : G1 × G2 → GT with the following properties: 1. Bilinearity: e(ua , vb ) = e(u, v)ab for all u ∈ G1 , v ∈ G2 and a, b ∈ Zp . 2. Non-degeneracy: There exist u ∈ G1 , v ∈ G2 such that e(u, v) = I, where I is the identity element of GT . 3. Computability: e can be computed in an efficient way. 42 3 ABAC: Attribute-Based Access Control Such a bilinear map is called a bilinear pairing.