Dynamic audit services for integrity verification of outsourced storages in clouds

By Yan Zhu, Huaixi Wang, Zexing Hu, Gail-Joon Ahn, Hongxin Hu, Stephen Sik-Sang Yau. ACM Symposium on Applied Computing, 2011

380 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/7f4d968f36f284485bd2e0685444d8c5c02233b4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Hui Li
2. Yan Zhu
3. Gail-Joon Ahn
4. Boyang Wang
5. Hongxin Hu
6. Baochun Li
7. Mengyang Yu

In Information Systems

1. Hui Li
2. Yan Zhu
3. Gail-Joon Ahn
4. Boyang Wang
5. Hongxin Hu
6. Baochun Li
7. Mengyang Yu

Citations in the corpus

• Cooperative Provable Data Possession for Integrity Verification in Multicloud Storage (2012, methodology): “By using this structure, especially the index records f ig, our CPDP scheme can also support dynamic data operations [8].”
• Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud (2015, methodology): “Because the computation of a signature includes the block identifier, conventional methods—which use the index of a block as the block identifier (i.e., block m j is indexed with j)—are not efficient for supporting dynamic data [8], [14].”