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Vol. 3,October Issue  Paper Submission  Deadline : 15th  November 2018...

Vol. 3,  Special Issue(Bi-yearly) -  Paper Submission  Deadline: 15th November  2018..


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AUTOMATIC BRAIN TUMOR DETECTION USING SFCMAND PROBABILISTIC NEURAL NETWORK WITH RASPBERRY Pi


Abstract

Abstract: Now a day’s large amount ofdata accumulated on cloud. All information stored on cloud throughout theworld. It will be unsecure unless all data encoded for the security purpose.Crumbled information arranges properly to be effectively and easily forsearchable and retrievable data with no security access, especially for theversatile customer. Number of issue find out in previous studies relates tocloud data. Especially in portable cloud platform cell phone can’t be connectedit may cause to difficulties occurred remote systems. For example, inertnessaffectability, poor availability, and low transmission rates. However, it maylead risk to as data cannot be encrypted for security purpose. Especially forthe mobile client encrypted form data should be accessible and retrievalwithout any privacy leak. Although recent research has solved many securityissues, the architecture cannot applied on mobile devices directly under themobile cloud environment. It will be forced by wireless networks, such aslatency sensitivity, poor connectivity, and low transmission rates. This leadsto a long search time and extra network traffic costs when using traditionalsearch schemes. In our study we proposed Efficient Encrypted data search asmobile clod service to resolve these issues. In these propose studies we usinglightweight trapdoor (Encrypted format keyword), which optimizes the datacommunication process by reducing the trapdoor’s size for traffic efficiency.

Keywords:MappingTable, Compression, Ranking Search, Encrypted Search, Mobile Cloud.


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