An Efficient Public Verifiability and Data Integrity Using Multiple TPAs in Cloud Data Storage

Cloud computing is a novel paradigm in information technology. This approach involves methods that forward services to users on demand via pay-as-you-go. Cloud computing can reduce computation and communication costs, and this advantage has resulted in the influx of cloud computing users. Cloud storage, which allows users to remotely outsource their data to the cloud, is considered a major cloud computing service. However, this form of storage introduces new security challenges, such as unreliable service providers. Data storage correctness is another challenge that should be addressed before this modern storage model can be extensively applied. Most proposed schemes for data integrity verification use a third party auditor, specifically a single third party auditor. However, a single third party auditor may become a bottleneck in the overall system operation and may degrade system performance because thousands of users may delegate their tasks to a single third party auditor. In this paper, we propose a new scheme for securing data integrity via a multiple third party auditors based mutual authentication to overcome the aforementioned limitations and ensure high-level security. We suggest a remote data storage correctness checking scheme based on homomorphic linear authentication and an elliptic curve digital signature algorithm to support public verifiability. Our proposed scheme uses a Merkle hash tree at the cloud server to store data, thereby enabling rapid data access. Finally, our proposed scheme identifies misbehaving servers and verifies data storage correctness.