کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4950205 1364281 2018 26 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Privacy preserving cloud data auditing with efficient key update
ترجمه فارسی عنوان
حفظ حریم خصوصی حسابرسی اطلاعات ابر با به روز رسانی کلیدی کارآمد
کلمات کلیدی
فضای ذخیره ابری، یکپارچگی داده، به روز رسانی کلیدی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
چکیده انگلیسی
Data integrity is extremely important for cloud based storage services, where cloud users no longer have physical possession of their outsourced files. A number of data auditing mechanisms have been proposed to solve this problem. However, how to efficiently update a cloud user's secret auditing key as well as the authenticators those keys are associated with when the digital certificate expires in the PKI system is a critical issue. In this paper, we propose a key-updating and authenticator-evolving mechanism with zero-knowledge privacy of the stored files for secure cloud data auditing, which incorporates zero knowledge proof systems, proxy re-signatures and homomorphic linear authenticators. We instantiate our proposal with the state-of-the-art Shacham-Waters auditing scheme. When the cloud user needs to update his key, instead of downloading the entire file and re-generating all the authenticators, the user can simply download one single file tag, work out a re-signing key with the new private key and upload the new file tag together with some verification information to the cloud server, in which the user undertakes the least amount of the workload in the updating phase. This approach dramatically reduces the communication and computation cost while maintaining the desirable security. We formalize the security model of zero knowledge data privacy for auditing schemes in the key-updating context and prove the soundness and zero-knowledge privacy of the proposed construction. Finally, we develop a prototype implementation of the protocol which demonstrates the practicality of the proposal.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Future Generation Computer Systems - Volume 78, Part 2, January 2018, Pages 789-798
نویسندگان
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