A Secured Distributed and Data Fragmentation Model for Cloud Storage

DOI

10.2991/isccca.2013.159How to use a DOI?

Keywords

cloud storage, secured, OpenID, OAuth, data fragmentation, Haystack

Abstract

The increasing popularity of cloud service is leading people to concentrate more on cloud storage than traditional storage. However, cloud storage confronts many challenges, especially, the security of the out-sourced data(the data that is not stored/retrieved from the tenants’ own servers). Security not only can keep the data from attacking but also can recover the original data after attack efficiently. Thus, to address the security issue, we proposed a new distributed and data fragmentation model of cloud storage named DDFM (Distributed and Data Fragmentation Model). DDFM aims to provide tenants a secured and integrated cloud storage service with layer-to-layer protection strategy. The layer-to-layer protection strategy of our model includes three main algorithms: the Authentication and Authorization Management Algorithm based on OpenID and OAuth, the Data Fragment Algorithm based on Granular Computing and the Haystack File Storage Algorithm. Considering tenants' security requirement our model DDFM based on these algorithms provided a better decision of cloud storage architecture for our tenants. Furthermore, DDFM can defense most of the network threats and provide a secured way for the third-party applications to access sensitive information that stored on the cloud storage.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lixuan Wang
AU  - Lifang Liu
AU  - Shenling Liu
AU  - Dong Chen
AU  - Yujiao Chen
PY  - 2013/02
DA  - 2013/02
TI  - A Secured Distributed and Data Fragmentation Model for Cloud Storage
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 633
EP  - 638
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.159
DO  - 10.2991/isccca.2013.159
ID  - Wang2013/02
ER  -