Secure Provenance for Data Forensics with Efficient Revocation of Anonymous Credentials in Cloud Computing

Secure Provenance for Data Forensics with Efficient Revocation of Anonymous Credentials in Cloud Computing
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通过云计算中匿名凭证的高效撤销来确保数据取证的安全来源

DOI:
10.1007/s11277-016-3406-6
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发表时间:
2016-06
影响因子:
2.2
通讯作者:
Yong Zhang
Yong Zhang
中科院分区:
计算机科学4区
文献类型:
--
作者:
Songyang Wu;Yong Zhang

文献摘要

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隐私是移动云计算中的关键安全要求。为了解决隐私保护云环境中数据取证的困境,文献中提出了记录数据对象的所有权和处理历史的安全来源。尽管现有的安全来源方案提供了对云服务器的匿名身份验证、敏感文档的机密性、来源记录的不可伪造性以及有争议文档的来源跟踪,但它们没有解决匿名用户的撤销问题或在匿名身份验证中引入高计算开销。在这项研究中,我们提出了一种适用于云计算的实用安全数据来源。我们的方案提供了必要的安全功能和高效的匿名凭证撤销,而不牺牲性能(即计算开销最小)。使用可证明的安全技术,我们证明所提出的方案在标准模型下是安全的。
Privacy is a critical security requirement in mobile cloud computing. To address the dilemma of data forensics in privacy-preserving cloud environment, secure provenance that records the ownership and process history of data objects was proposed in literatures. Although existing secure provenance schemes provide anonymous authentication to cloud servers, confidentiality of sensitive documents, unforgeability of provenance records and provenance tracking of disputed documents, they do not address the revocation of anonymous user or introduce high computational overhead into anonymous authentication. In this study, we propose a practical secure data provenance for cloud computing. Our scheme provides the necessary security features and efficient revocation of anonymous credentials without sacrificing performance (i.e. computational overhead is minimal). Using provable security techniques, we prove that the proposed scheme is secure under the standard model.
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