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Journal of Sensors
Volume 2018, Article ID 1578314, 9 pages
https://doi.org/10.1155/2018/1578314
Research Article

Towards Effective Network Intrusion Detection: A Hybrid Model Integrating Gini Index and GBDT with PSO

1School of Information Science & Engineering, Lanzhou University, Lanzhou 730000, China
2China Information Technology Security Evaluation Center, Beijing 100085, China
3Department of Electronic and Information Engineering, Lanzhou Vocational Technical College, Lanzhou 730070, China

Correspondence should be addressed to Longjie Li; nc.ude.uzl@iljl

Received 17 August 2017; Revised 24 January 2018; Accepted 11 February 2018; Published 26 March 2018

Academic Editor: Eduard Llobet

Copyright © 2018 Longjie Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Longjie Li, Yang Yu, Shenshen Bai, Jianjun Cheng, and Xiaoyun Chen, “Towards Effective Network Intrusion Detection: A Hybrid Model Integrating Gini Index and GBDT with PSO,” Journal of Sensors, vol. 2018, Article ID 1578314, 9 pages, 2018. https://doi.org/10.1155/2018/1578314.