Auditing the Cloud: A New Blueprint for Multi-Copy Data Integrity
As organizations increasingly rely on decentralized, multi-replica cloud storage, ensuring data integrity without sacrificing performance is a critical security challenge. A new scheme called MPA proposes a lightweight, publicly verifiable auditing method that integrates polynomial commitments with Merkle trees. This design enables efficient, block-level verification of data integrity and supports dynamic updates. To prevent collusion among service providers, each data copy is uniquely encrypted, and the system allows for simultaneous verification across multiple providers. An optimized batch auditing mechanism further reduces computational and communication overhead by aggregating proofs across different files and providers. The protocol uses a blockchain-assisted method to generate unpredictable audit challenges, enhancing transparency. Performance evaluations indicate MPA offers strong security guarantees while significantly outperforming existing solutions in efficiency and scalability for multi-copy environments.
Why it might matter to you: For cybersecurity professionals focused on cloud security and data protection, this research addresses a core operational gap in securing decentralized storage. The MPA scheme provides a practical framework for implementing robust, scalable integrity checks that are essential for compliance and risk management in multi-cloud strategies. Its efficiency gains could directly impact the design of security operations center (SOC) monitoring tools and incident response protocols for data breach scenarios.
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