Optimal Fragment Selection for Data Security and Efficient Content Alteration Mechanism in Cloud using IABC

Cloud computing is an emerging technology which attracts customers by offering reduced cost, space and virtually unlimited dynamic resources for storage, computation etc. User shares the sensitive data over the cloud which gives rise to security issues in cloud computing. So, to protect user's data a secure methodology of fragmentation and replication of data is used in this paper. Optimal Threshold value is chosen to perform fragmentation of the data file by means of Improved Artificial Bee Colony (IABC) algorithm. Based on the optimal threshold value, data file is fragmented. Once the fragmentation is done, the proposed methodology selects the cloud nodes for fragment placement. The nodes are selected in such a way that the access time is always reduced by giving equal preference to both security and performance in terms of the access time. The centre most nodes are carefully chosen to provide better access time using centrality measure in the cloud network. Based on these measures, our data resides secured in cloud. Replication strategy provides reliable access to data fragments that improves the trustworthiness of the system.