A Secured Distributed and Data Fragmentation Model for Cloud Storage
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 tbe 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 OpenlD 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.
cloud storage secured OpenID OAuth data fragmentation Haystack
Lixuan Wang Lifang Liu Shenling Liu Dong Chen Yujiao Chen
School of Computer National University of Defense Technology Changsha, China
国际会议
太原
英文
633-638
2013-04-06（万方平台首次上网日期，不代表论文的发表时间）