Cloud Computing is a boon to the field of information and technology. The two major elements of client worries are Data security and Privacy Protection. Data may be revised and improved when client stores the information in the cloud so there might be danger of data loss. Therefore
client information is moved to the data hub which cannot be controlled by the clients. Hence high safety efforts are required to secure data inside the cloud. Here data is divided into fragments and they are converted into encrypted file. This encrypted file is issued to arbitrarily chosen
cloud service providers by the cloud data owners. Even after the successful attack, attackers do not get the meaning full information. If cloud data clients access to get any document that relating to encrypted file is regenerated from the fragments and clients must download it. When the applicant
coordinates the strategy with the original details, then only file can be decoded. Therefore it demonstrates that prospective strategy improves the data integrity and confidentiality.
This paper exhibits a methodology for distribution expansion planning utilizing multi objective Particle Swarm Optimization (PSO). The Optimization objectives are power losses, Investment & Operating costs, Improve voltage profile. The PSO method has been verified by 30 real time nodal system. While planning the expansion and operation of distribution network, utilities have a complex combination of technical constraints, which must be considered together with the investment decisions on the behavior of the distribution system along the planning horizon.
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