Abstract
Outsourcing data to are remote cloud service provider allows organizations or individual users to store more data on the cloud storage than on private computer systems. However, a specific problem encountered in cloud storage is how to ensure user’s confidence of the integrity of their outsourced data on cloud. One important approach is Proof of Retrievability (POR) which allows a verifier to check and repair the data stored in the cloud server. However, most of existing PORs can only deal with static data and provide one single recovery method which may lead to inefficiency and inflexibility. To address these cloud storage issues, we propose a map-based dynamic data integrity verification and recovery scheme in cloud storages. We first present two recovery methods with different granularity and introduce a new data structure. Relying on algebraic signature with homomorphism property, our integrity verification is highly efficient. Furthermore, our solution can prevent multiple cloud servers from colluding to fabricate consistent signatures.
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