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Dynamic large branching hash tree based secure and efficient dynamic auditing protocol for cloud environment
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DOI：10.1007/s10586-020-03193-0.png)
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摘要
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Cloud computing model offers various platforms services and provides a scalable, on-demand service at any time-anywhere manner. However, in the outsourcing strategy, users no longer have direct control and ownership of data, which causes serious major concerns related to proper secure auditing. Previously, many schemes have been drafted to admit proper public verification through third-party authorities. On the other hand, these schemes may leak identity or data value to third party auditor (TPA) by making improbable expectations in a manner that the TPA has the adequate computation capability and can only handle static archive data blocks. So an efficient, secure, and dynamic auditing model is craved to prompt users that their sensitive data are accurately stored in the cloud data center. To accommodate this, we introduce a secure novel public auditing scheme named Dynamic Large Branching Hash Tree (DLBHT) with Homomorphic Verifiable Authenticator (HVA) based aggregate signature scheme, which performs auditing with less communication and computational overhead. This model supports batch auditing and batch dynamic updating operations by maintaining a provably secure dynamic large branching tree (DLBHT) at the cloud server-side. The security and performance analysis of our model shows that it is efficient and secure for practical arrangements, which specifically diminishes communication and computational cost of auditing procedure.
Keyword:
DLBHT
Data integrity
Privacy-preserving
Batch and dynamic auditing
Public auditability
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Data Integrity Auditing without Private Key Storage for Secure Cloud Storage无需私钥存储的数据完整性审计，实现安全的云存储
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OAAI分享收藏An alternative approach to public cloud data auditing supporting data dynamics支持数据动态的公共云数据审计的替代方法.png)
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