A Collaborative Intrusion Detection Model Using a Novel Optimal Weight Strategy Based on Genetic Algorithm for Ensemble Classifier

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Tengl, S, Zhang, Z, Teng, Luyao, Zhang, W, Zhu, H, Fang, X and Fei, L (2018) A Collaborative Intrusion Detection Model Using a Novel Optimal Weight Strategy Based on Genetic Algorithm for Ensemble Classifier. In: 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design (CSCWD), 9 May 2018 - 11 May 2018, Nanjing, China.

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Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/38210
DOI 10.1109/CSCWD.2018.8465148
Official URL https://ieeexplore.ieee.org/document/8465148
ISBN 9781538614822 (online) 9781538614839 (print)
Subjects Historical > FOR Classification > 0802 Computation Theory and Mathematics
Historical > FOR Classification > 0803 Computer Software
Current > Division/Research > College of Science and Engineering
Keywords cybersecurity; network intrusion; intrusion detection systems; algorithm; NSL-KDD datasets; OW-ECIDM
Citations in Scopus 8 - View on Scopus
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