Secured Data Transfer Using Map Reduce Frame Work

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dc.contributor.authorCHAITRA, N R
dc.contributor.authorKAMYA, G
dc.contributor.authorTHILAK KUMAR, M
dc.contributor.authorSHARADHA, B L
dc.date.accessioned2018-06-19T11:21:53Z
dc.date.available2018-06-19T11:21:53Z
dc.date.issued2018-06-19T11:21:53Z
dc.description.abstractInformation is developing at a huge rate in the present world. One of the finest and most famous advances accessible for taking care of and handling that gigantic measure of information is the Hadoop biological system. Undertakings are progressively depending on Hadoop for putting away their profitable information and handling it. In any case, Hadoop is as yet developing. There is much helplessness found in Hadoop, which can scrutinize the security of the touchy data that ventures are putting away on it. In this paper, security issues related with the system have been distinguished. We have additionally attempted to give a concise review of the at present accessible arrangements and what are their impediments. Toward the end a novel technique is presented, which can be utilized to kill the discovered vulnerabilities in the structure. In the cutting edge time, data security has turned into a basic need for every last person. Notwithstanding, not every person can manage the cost of the specific appropriations gave by various sellers to their Hadoop group. This paper shows a financially savvy method that anybody can use with their Hadoop group to give it 3-D security.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/9448
dc.language.isoenen_US
dc.subjectCHAITRA N Ren_US
dc.subjectKAMYA Gen_US
dc.subjectTHILAK KUMAR Men_US
dc.subjectSHARADHA B Len_US
dc.subject1NH14CS738en_US
dc.subject1NH14CS713en_US
dc.subject1NH14CS734en_US
dc.subject1NH14CS020en_US
dc.titleSecured Data Transfer Using Map Reduce Frame Worken_US
dc.typeOtheren_US
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