通信学报2018，Vol.39Issue(5)：59-73,15.DOI:10.11959/j.issn.1000-436x.2018077
基于角色对称加密的云数据安全去重
Cloud data secure deduplication scheme via role-based symmetric encryption
摘要
Abstract
The rapid development of cloud computing and big data technology brings prople to enter the era of big data, more and more enterprises and individuals outsource their data to the cloud service providers. The explosive growth of data and data replicas as well as the increasing management overhead bring a big challenge to the cloud storage space. Meanwhile, some serious issues such as the privacy disclosure, authorized access, secure deduplication, rekeying and permission revocation should also be taken into account. In order to address these problems, a role-based symmetric en-cryption algorithm was proposed, which established a mapping relation between roles and role keys. Moreover, a secure deduplication scheme was proposed via role-based symmetric encryption to achieve both the privacy protection and the authorized deduplication under the hierarchical architecture in the cloud computing environment. Furthermore, in the proposed scheme, the group key agreement protocol was utilized to achieve rekeying and permission revocation. Finally, the security analysis shows that the proposed role-based symmetric encryption algorithm is provably secure under the standard model, and the deduplication scheme can meet the security requirements. The performance analysis and experi-mental results indicate that the proposed scheme is effective and efficient.关键词
角色对称加密/隐私保护/授权去重/重复数据删除/权限撤销Key words
role-based symmetric encryption/privacy protection/authorized deduplication/data deduplication/permis-sion revocation分类
信息技术与安全科学引用本文复制引用
熊金波,张媛媛,田有亮,应作斌,李琦,马蓉..基于角色对称加密的云数据安全去重[J].通信学报,2018,39(5):59-73,15.基金项目
国家自然科学基金资助项目(No.61772008,No.U1405255,No.61502248,No.61402109,No.61502489,No.61502103) （No.61772008,No.U1405255,No.61502248,No.61402109,No.61502489,No.61502103）
贵州省科技重大专项计划基金资助项目(No.20183001) （No.20183001）
贵州省公共大数据重点实验室开放课题基金资助项目(No.2017BDKFJJ028)The National Natural Science Foundation of China(No.61772008,No.U1405255,No.61502248,No.61402109,No.61502489,No.61502103),The Science and Technology Major Support Program of Guizhou Province(No.20183001),Guizhou Provincial Key Laboratory of Public Big Data Research Fund(No.2017BDKFJJ028) （No.2017BDKFJJ028）
