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Intrusion Detection System on Big data using Deep Learning Techniques
2020
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
Big data is the huge amount of data with different types of V's: Velocity, Variety as well as Volume. It can be semi-structured, unstructured or structured, due to which it is not easy to analyze the data. To extract the hidden knowledge and to detect the attacks on large amount of data new architecture, techniques, algorithms, and analytics are required. Using traditional techniques to detect attacks is very difficult. In this paper, the detailed review has been done on intrusion detection on
doi:10.35940/ijitee.d2011.029420
fatcat:t4woonejwzd3njpqix5o42uf5q