Triples Anomaly Detection Security Model Based on Decision Tree

DOI

10.2991/icmmcce-15.2015.450How to use a DOI?

Keywords

Data-mining, Network security, triples model.

Abstract

A triples anomaly detection security model based on decision tree algorithm is designed for solving the issues--exist in the current network security detection models,such as lacking of filtering the events, and classifying the events in the network environment faintly.This model which based on the decision tree positions and distinguishes various network threats at the first step.Afterwards, dividing the degree of anomalies through analyzing the source IP address, the destination IP address and the event types of network anomalies.Proved by examples,the triples anomaly detection security model produces remarkable effects on defining the type of security incidents and determining the degree of abnormal threats.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Liangcheng Li
AU  - Song Qing
AU  - Ting Jiang
AU  - Leiyue Zhou
PY  - 2015/12
DA  - 2015/12
TI  - Triples Anomaly Detection Security Model Based on Decision Tree
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SP  - 1096
EP  - 1102
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.450
DO  - 10.2991/icmmcce-15.2015.450
ID  - Li2015/12
ER  -