
File Fragmentation to Improve Security in Cloud Using Graph Topology Grid Algorithm: A Survey
Author(s) -
S. Abdul Saleem,
N. Ramya
Publication year - 2019
Publication title -
asian journal of computer science and technology
Language(s) - English
Resource type - Journals
eISSN - 2583-7907
pISSN - 2249-0701
DOI - 10.51983/ajcst-2019.8.s2.2026
Subject(s) - computer science , cloud computing , distributed computing , grid , encryption , cloud storage , algorithm , data security , network topology , node (physics) , computer network , mathematics , engineering , operating system , geometry , structural engineering
Cloud computing is an emerging patterning that provides computing, communication and storage resources-as-service over a network. In existing system, data stored in a cloud is unsafe due to the eaves dropping and hacking process. To overcome the drawbacks of earlier approaches, Division and Replication of Data in the Cloud for Optimal Performance and Security (DROPS) methodology is used. The node selection is ensured by means of Graph Topology Grid Algorithm and also data is encrypted here for security. In this process, the common data are divided into multiple nodes and replicate the fragmented data over the cloud nodes. Each data is stored in a different node as fragments in individual locations. In case of any attackers attack a node, no meaningful information will expose to them. The controlled replication of the file fragments is ensured and each of the fragments is replicated only once for the purpose of improved security and minimal retrieval time. In this survey, various relevant approaches were studied and analyzed. Furthermore the DROPS with Graph Topology Grid Algorithm give the better way of security in cloud environment over the earlier approaches.