Intelligent Methods for Big Data Analytics and Cyber Security

3921_kamenov_big_data.pdf

Publication Type:

Journal Article

Authors:

Dimitar Kamenov

Source:

Information & Security: An International Journal, Volume 39, Issue 3, p.255-262 (2018)

Keywords:

big data, classification, clustering, cyber security, data mining, filtering, human factor, machine learning, network graphs, outlier detection, semantic analysis, spatial data mapping, statistical analysis

Abstract:

The article examines some intelligent computational methods for big data analysis which are applicable to issues of cyber security and military science, including the analysis of hybrid threats. It presents and compares big data analysis techniques such as quantitative analysis, qualitative analysis, data mining, statistical analysis, machine learning, semantic analysis, and visual analysis. The importance and prospects of intelligent methods for big data analysis are emphasized.

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Last updated: Wednesday, 13 February 2019