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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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Official URL: https://ieeexplore.ieee.org/document/8465148
Item Type: | Conference or Workshop Item (Paper) |
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ISBN: | 9781538614822 (online) 9781538614839 (print) |
Uncontrolled Keywords: | cybersecurity; network intrusion; intrusion detection systems; algorithm; NSL-KDD datasets; OW-ECIDM |
Subjects: | FOR Classification > 0802 Computation Theory and Mathematics FOR Classification > 0803 Computer Software Faculty/School/Research Centre/Department > College of Science and Engineering |
SWORD Depositor: | Symplectic Elements |
Depositing User: | Symplectic Elements |
Date Deposited: | 31 Mar 2019 23:03 |
Last Modified: | 31 Mar 2019 23:03 |
URI: | http://vuir.vu.edu.au/id/eprint/38210 |
DOI: | https://doi.org/10.1109/CSCWD.2018.8465148 |
ePrint Statistics: | View download statistics for this item |
Citations in Scopus: | 0 - View on Scopus |
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