Abstract-In this paper, we propose a dynamic audit service for verifying the integrity of an untrusted and outsourced storage. Our audit service is constructed based on the techniques, fragment structure, random sampling, and index-hash table, supporting provable updates to outsourced data and timely anomaly detection. In addition, we propose a method based on probabilistic query and periodic verification for improving the performance of audit services. Our experimental results not only validate the effectiveness of our approaches, but also show our audit system verifies the integrity with lower computation overhead and requiring less extra storage for audit metadata.
Zhu et al. REF created a dynamic audit service based on fragment structure, random sampling and index-hash table that supports timely anomaly detection.
Dynamic Audit Services for Outsourced Storages in Clouds
IEEE Transactions on Services Computing
IEEE Transactions on Services Computing
Computer Science