PROPOSE AND ENLARGEMENT OF PRIVACY PRESERVING TECHNIQUES IN BIG DATA MINING

P. Latha, Dr. P. Niranjan

Abstract


Big statistics describes huge information sets which have greater various and complex shapes like weblogs, social media, e-mail, sensors, and snapshots. This plenty less set up information and forte trends from traditional databases normally associated with greater headaches in storing, reading and applying similar strategies or extracting consequences. Big records analytics is the method of examining incredible portions of complex information on the manner to find out unseen patterns or spotting furtive correlations. Since conventional databases systems cannot be used to the method the massive information, it poses several demanding conditions to the studies community. Security and privacy are the crucial problems with facts. However, there exists incongruity some of the Big facts safety and privacy and the massive use of huge information. This paper offers insights on evaluating of huge facts, related worrying conditions, privateness and safety troubles and the differentiation among privateness & protection requirements in huge records. Also, we cantered on numerous privacy fashions which may be stretched to massive statistics area, reading the blessings and downsides of Data anonymity privacy models.

Keywords


Security, Big data, privacy, database, inspecting.

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DOI: https://doi.org/10.26483/ijarcs.v9i2.5855

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