2019
DOI: 10.26599/tst.2018.9010132
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SIV: a structural integrity verification approach of cloud components with enhanced privacy

Abstract: Private data leakage is a threat to current integrity verification schemes of cloud components. To address this issue, this work proposes a privacy-enhancing Structural Integrity Verification (SIV) approach. It is made up of three processes: proof organization, proof transformation, and integrity judgement. By introducing a Merkle tree technique, the integrity of a constituent part of a cloud component on a node is represented by a root value. The value is then masked to cipher texts in proof transformation. W… Show more

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Cited by 5 publications
(1 citation statement)
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“…In order to address the risk of private data leaking to the public, a Structural Integrity Verification method described by [236] can be applied to cloud systems using three processes: proof organization, proof transformation, and integrity judgement. For large sets of mobile data, the batch verification method proposed by [237] can be used to reduce the computational cost.…”
Section: Verificationmentioning
confidence: 99%
“…In order to address the risk of private data leaking to the public, a Structural Integrity Verification method described by [236] can be applied to cloud systems using three processes: proof organization, proof transformation, and integrity judgement. For large sets of mobile data, the batch verification method proposed by [237] can be used to reduce the computational cost.…”
Section: Verificationmentioning
confidence: 99%