Abstract: Cache-coherent multithreaded computer architectures has been envisioned as the next generation architecture of IT Enterprise. In contract to traditional solutions, where the IT services are under proper physical, logical and personnel controls, Cloud Computing moves the application software and database to the large data centers, where the management of the data and services may not be fully trustworthy. This unique attribute, however, poses many new security challenges which have not been well understood. In this article, we focus on cloud data storage security, which has always been an important aspect of quality services. To ensure the correctness of users’ data in the cloud, we propose effective and flexible distributed schemes with two salient features, opposing to its predecessors. By utilizing the homomorphism token with distributed verification of erasure-coded data, our scheme achieves the integration of storage correctness insurance and data error localization, i.e., the identification of misbehaving server(s). Unlike most prior works, the new scheme further supports secure and efficient dynamic operations on data blocks, including: data update, delete and append. Extensive security and performance analysis shows that the proposed scheme is highly efficient and resilient against Byzantine failure, malicious data modification attacks, and even server cache-coherent attacks.

Keywords: Cache, Multithreading, Homomorphism, Resilient, Simulation.