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Li W. Automatic Log Analysis using Machine Learning. Department of Information Technology, Uppsala University. 2013 Nov.

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Article

Big Data in Network Security Systems

1Department of Engineering Technology, Mississippi Valley State University, Mississippi, USA


International Transaction of Electrical and Computer Engineers System. 2017, Vol. 4 No. 2, 68-74
DOI: 10.12691/iteces-4-2-4
Copyright © 2017 Science and Education Publishing

Cite this paper:
Lidong Wang. Big Data in Network Security Systems. International Transaction of Electrical and Computer Engineers System. 2017; 4(2):68-74. doi: 10.12691/iteces-4-2-4.

Correspondence to: Lidong  Wang, Department of Engineering Technology, Mississippi Valley State University, Mississippi, USA. Email: lwang22@students.tntech.edu

Abstract

The purpose of this paper is to introduce several issues of network security including network security systems, techniques and approaches, events fusion, and real-time data processing. Artificial intelligence methods such as data mining and machine learning in network security are also presented. Big data in network security systems is also introduced, which includes big heterogeneous data, big data processing technologies (stream processing, batch processing, and micro-batch processing), The encryption and security mechanism of big data and some applications of Big Data technologies in network security are also offered. Challenges of Big Data in network security are also deliberated.

Keywords