مقاله انگلیسی حریم خصوصی در تقسیم اطلاعات متقابل کاربر

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مقاله انگلیسی حریم خصوصی در تقسیم اطلاعات متقابل کاربر
عنوان فارسی مقاله: حریم خصوصی در تقسیم اطلاعات متقابل کاربر
عنوان انگلیسی مقاله: Privacy in Cross-User Data Deduplication
مجله/کنفرانس: Mobile Networks and Applications
رشته های تحصیلی مرتبط: مهندسی کامپیوتر
گرایش های تحصیلی مرتبط: مهندسی نرم افزار
کلمات کلیدی انگلیسی: Deduplication; Proof of ownership; Data unlinkability; Bloom filter
نوع نگارش مقاله: article
نمایه: scopus - master journals - JCR
DOI: doi.org/10.1007/s11036-018-1100-5
ناشر: Springer
نوع ارائه مقاله: ژورنالی
نوع مقاله: ISI
سال انتشار مقاله: 2018
ایمپکت فاکتور(IF): 2.497(2017)
شاخص H_index: 76
SJR: 0.634
شناسه ISSN: 1383-469X
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 13
کد محصول: EN80
فهرست انگلیسی مطالب
Abstract

Introduction

Related works

Preliminaries
-Cryptographic hash functions
-RSA blind signature
-System architecture and properties
-The bloom filter for membership test

System architecture and properties
-Threat model
-Privacy requirements

The proposed approach
-System setup
-Data uploading
-Data downloading (Dnd (IF 1, IF 2) →CF )

Privacy analysis
-Tag consistency game
-Data-key privacy game
-ata-index privacy game
-Data-unlinkability game

Performance analysis
-Correctness
-Computation and communication analysis
-Memory and bandwidth analysis

Conclusion

References
نمونه متن انگلیسی
Abstract

With the ever increasing volume of digital data, using data deduplication techniques in archival storage has become imperative in large scale cloud systems. In a storage system based on a cross-user data deduplication technique, data is uploaded to the server by the client if only it has not been uploaded by him or any other clients previously. Therefore, such storage systems achieve optimal utilization of both storage and bandwidth resources. Although the existing cross-user data deduplication techniques preserve data privacy requirements to some extent (e.g. confidentiality and tag consistency), they leak information to communication parties. In particular in those settings, the clients and the server may find out which clients own identical data. Nevertheless, in this paper we introduce a privacy requirement for data deduplication techniques called data-unlinkability to resolve this problem. Moreover, we propose a novel approach for data deduplication using Bloom filter to provide data-unlinkability for clients’ files. Our proposed approach does not use Proof of Ownership (POW) scheme, and only entities who have access to the entire files content can obtain the information for files retrieval. The security and performance analysis suggest that our technique provides both privacy requirements and optimization of storage space and bandwidth.
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