In cloud storage services, users can store their data in remote cloud servers. Due to new and challenging security threats toward outsourced data, remote data integrity checking has become a crucial technology in cloud storage services. Recently, many integrity checking protocols have been proposed. Several protocols support batch auditing, but they do not support efficient identification when batch auditing fails. In this paper, we propose a new identification method for the corrupted cloud in multi-cloud environments without requiring any repeated auditing processes.
|Title of host publication||Information and Communication Technology - 3rd IFIP TC 5/8 International Conference, ICT-EurAsia 2015 and 9th IFIP WG 8.9 Working Conference, CONFENIS 2015 Held as Part of WCC 2015, Proceedings|
|Editors||Ilsun You, Li Da Xu, Erich Neuhold, A. Min Tjoa, Ismail Khalil|
|Number of pages||5|
|Publication status||Published - 2015|
|Event||3rd IFIP TC 5/8 International Conference on Information and Communication Technology, ICT-EurAsia 2015 and 9th IFIP WG 8.9 Working Conference on Research and Practical Issues of Enterprise Information Systems, CONFENIS 2015 - Daejeon, Korea, Republic of|
Duration: 2015 Oct 4 → 2015 Oct 7
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Other||3rd IFIP TC 5/8 International Conference on Information and Communication Technology, ICT-EurAsia 2015 and 9th IFIP WG 8.9 Working Conference on Research and Practical Issues of Enterprise Information Systems, CONFENIS 2015|
|Country/Territory||Korea, Republic of|
|Period||15/10/4 → 15/10/7|
Bibliographical noteFunding Information:
This research was supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2015-H8501-15-1008) supervised by the IITP(Institute for Information & communications Technology Promotion).
© IFIP International Federation for Information Processing 2015.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)