Outline

  • Abstract
  • Keywords
  • 1. Introduction
  • 2. Related Work
  • 2.1. Security Issues in Cloud Storage
  • 2.2. Mass Distributed Storage (mds)
  • 3. Motivational Example
  • 4. Concepts and the Proposed Model
  • 4.1. Problem Formulations
  • 4.2. Security-Aware Efficient Distributed Storage (sa-Eds) Model
  • 4.2.1. Deterministic Process (dp)
  • 4.2.2. Data Distributed Storage Process (d2sp)
  • 4.3. Threat Models
  • 4.4. Design Goals
  • 5. Algorithms
  • 5.1. Alternative Data Distribution (ad2) Algorithm
  • 5.2. Secure Efficient Data Distributions (sed2) Algorithm
  • 5.3. Efficient Data Conflation (edcon) Algorithm
  • 6. Experiment and the Results
  • 6.1. Experimental Configuration
  • 6.2. Experimental Results
  • 7. Conclusions
  • References

رئوس مطالب

  • چکیده
  • کلیدواژه ها
  • 1. مقدمه
  • 2.کار مرتبط
  • 1.2 مسائل امنیتی در ذخیره سازی ابر
  • 2.2 ذخیره سازی انبوه توزیع شده (MDS)
  • 3.مثال انگیزشی
  • 4.مفاهیم و مدل ارائه شده
  • 1.4 فرمول بندی مساله
  • 2.4 مدل ذخیره سازی توزیع کارآمد امنیت-آگاه (SA-EDS)
  • 1.2.4 فرآیند قطعی (DP)
  • 2.2.4 فرآیند ذخیره سازی داده های توزیع شده (D2SP)
  • 3.4 مدل های تهدید
  • 4.4 اهداف طراحی
  • 5. الگوریتم ها
  • 1.5 الگوریتم جایگزین توزیع داده های (AD2)
  • 2.5 الگوریتم توزیع داده کارآمد امن (SED2)
  • 3.5 الگوریتم تلفیق داده های کارآمد (EDCon)
  • 6. آزمایش و نتایج
  • 1.6 پیکربندی تجربی
  • 2.6 نتایج تجربی
  • 7. نتیجه گیری

Abstract

Implementing cloud computing empowers numerous paths for Web-based service offerings to meet diverse needs. However, the data security and privacyhas become a critical issue that restricts many cloud applications. One of the major concerns in security and privacy is caused by the fact that cloud operators have chances to reach the sensitive data. This concern dramatically increases users’ anxiety and reduces the adoptability of cloud computing in many fields, such as the financial industry and governmental agencies. This paper focuses on this issue and proposes an intelligent cryptographyapproach, by which the cloud service operators cannot directly reach partial data. The proposed approach divides the file and separately stores the data in the distributed cloud servers. An alternative approach is designed to determine whether the data packets need a split in order to shorten the operation time. The proposed scheme is entitled Security-Aware Efficient Distributed Storage (SA-EDS) model, which is mainly supported by our proposed algorithms, including Alternative Data Distribution (AD2) Algorithm, Secure Efficient Data Distributions (SED2) Algorithm and Efficient Data Conflation (EDCon) Algorithm. Our experimental evaluations have assessed both security and efficiency performances and the experimental results depict that our approach can effectively defend main threats from clouds and requires with an acceptable computation time.

Keywords: - - - -

Conclusions

This paper focused on the problem of the cloud data storage and aimed to provide an approach that could avoid the cloud operators reaching user’ sensitive data. Addressing this goal, we proposed a novel approach entitled as Security-Aware Efficient Distributed Storage (SA-EDS) model. In this model, we used our proposed algorithms, including Alternative Data Distribution (AD2), Secure Efficient Data Distributions (SED2) and Efficient Data Conflation (EDCon) algorithms. Our experimental evaluations had proved that our proposed scheme could effectively defend major threats from cloud-side. The computation time was shorter than current active approaches. Future work would address securing data duplications in order to increase the level of data availability since any of datacenter’s down will cause the failure of data retrievals.

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