Data Objects Replication Protection in Data Grid Using Advanced Encryption Standard Algorithm
Publication Date : 17/03/2016
We consider combine replication and data partitioning schemes to assure data availability, confidentiality, and timely accesses for data grid applications. Data objects are partitioned into shares and shares and dispersed. The shares may be replicated to achieve better performance and availability. The grid topology we consider consists of two layers. In the upper layer, multiple clusters form a network topology that can be represented by a general graph. The topology within each cluster is represented by a tree graph. Multiple cluster networks have been formed by implementing K Means clustering algorithm. We develop models for assessing confidentiality, availability, and communication cost for different placements and use the metrics to guide placement decisions. A new probabilistic security Advanced Encryption Standard (AES) and an efficient Base 64 Encoder and Decoder algorithm have been developed. Due to the nature of contradicting goals, we model the placement decision problem as a multi-objective problem and use a Bell Man Ford algorithm to determine Optimal Path solution and it is achieve.
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