Dynamic audit services for integrity verification of outsourced storages in clouds

  • Authors:
  • Yan Zhu;Huaixi Wang;Zexing Hu;Gail-Joon Ahn;Hongxin Hu;Stephen S. Yau

  • Affiliations:
  • Peking University, Beijing, China and Peking University;Peking University, Beijing, China;Peking University, Beijing, China;Arizona State University, Tempe, AZ;Arizona State University, Tempe, AZ;Arizona State University, Tempe, AZ

  • Venue:
  • Proceedings of the 2011 ACM Symposium on Applied Computing
  • Year:
  • 2011

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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 abnormal detection. In addition, we propose a 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, requiring less extra storage for audit metadata.