Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/5590
Title: Secure Big Data Computing
Authors: Verma, Richa
Kumar, Pardeep [Guided by]
Keywords: Big data
Multimedia data security
Algorithms
Artificial neural network
Issue Date: 2017
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: Amid the most recent decades, information security has turned into a noteworthy subject. Encoding of data has as of late been generally explored and created in light of the fact that there is an interest for a more grounded encryption. Encryption has been done to secure transmitted information from unapproved individual, in encryption the transmitted information is broken into mystery figure and perusing data or changing over the genuine data into various data. Encryption procedure will be connected in sound record. As the utilization of web expands step by step in this way, it end up noticeably important to secure the transmitted data from the unapproved individual. Cryptography assumes an imperative part inside the field of system security. There are numerous encryption strategies that have been available in the market to secure the data. Amid this exploration we'll have a framework of encoding systems. This exploration principally concentrates on encryption methods for sound and for content information. In the examination cross breed encryption system alongside neural system has been utilized. Many-sided quality discoverer was utilized to discover the rightness of the proposed work and parameters like exactness, review, and measure and precision will be figured.
URI: http://ir.juit.ac.in:8080/jspui//xmlui/handle/123456789/5590
Appears in Collections:Dissertations (M.Tech.)

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