A New Hybrid Machine Learning for Cybersecurity Threat Detection Based on Adaptive Boosting
A hybrid machine learning is a combination of multiple types of machine learning algorithms for improving the performance of single classifiers. Currently, cyber intrusion detection systems require high-performance methods for classifications because attackers can develop invasive methods and evade...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2019-04-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | http://dx.doi.org/10.1080/08839514.2019.1582861 |