Jianfeng Wang, Xiaofeng Chen, Jin Li, Kamil Kluczniak, Mirosław Kutyłowski
{"title":"A New Secure Data Deduplication Approach Supporting User Traceability","authors":"Jianfeng Wang, Xiaofeng Chen, Jin Li, Kamil Kluczniak, Mirosław Kutyłowski","doi":"10.1109/BWCCA.2015.49","DOIUrl":null,"url":null,"abstract":"The notion of data deduplication enables a user to eliminate duplicate copies of data so that it can save the amount of storage space and network bandwidth. Convergent encryption, as the state-of-art approach, has been widely adopted to perform secure deduplication in the cross-user scenario. However, all the existing solutions cannot support user traceability. That is, there is no way to trace the identities of malicious users for instance in case a user performed a duplicate faking attack. To cope with this issue, in this paper, we propose a novel secure deduplication scheme supporting user traceability by incorporating traceable signatures with the state of the art deduplication technique, such as interactive randomized convergent encryption and proof of ownership.","PeriodicalId":193597,"journal":{"name":"2015 10th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 10th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BWCCA.2015.49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
The notion of data deduplication enables a user to eliminate duplicate copies of data so that it can save the amount of storage space and network bandwidth. Convergent encryption, as the state-of-art approach, has been widely adopted to perform secure deduplication in the cross-user scenario. However, all the existing solutions cannot support user traceability. That is, there is no way to trace the identities of malicious users for instance in case a user performed a duplicate faking attack. To cope with this issue, in this paper, we propose a novel secure deduplication scheme supporting user traceability by incorporating traceable signatures with the state of the art deduplication technique, such as interactive randomized convergent encryption and proof of ownership.