Big-Data Analysis of Multi-Source Logs for Network Anomaly Detection

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Aug 2018Publisher:IEEEJournal:2018 5th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)

Authors: Wang He;

doi: 10.1109/iccss.2018.8572364

Big-Data Analysis of Multi-Source Logs for Network Anomaly Detection

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Abstract

In this paper, a Spark-based big data cluster is built to analyze the large-scale multi-source log data and to detect computer and network abnormal behaviors. By developing and assembling data mining, machine learning, and statistical analysis technologies, the large-scale log data can be quickly analyzed, and the abnormal attack behaviors can be accurately recognized.

Related Organizations

Wuhan University
China (People's Republic of)

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