MOE/RF: A Novel Phishing Detection Model Based on Revised Multiobjective Evolution Optimization Algorithm and Random Forest

To effectively boost computer usage, machine learning models are used in several phishing detection systems to classify enormous phishing datasets. Based on phishing patterns, researchers prefer to extract a considerable number of features to improve phishing detection performance. However, redundan...

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Veröffentlicht in:	IEEE eTransactions on network and service management Jg. 19; H. 4; S. 4461 - 4478
Hauptverfasser:	Zhu, Erzhou, Chen, Zhile, Cui, Jie, Zhong, Hong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Blocklists Datasets evolution computation Evolutionary algorithms Feature extraction Machine learning Model accuracy multi-objective optimization Multiple objective analysis Optimization Optimization algorithms Performance degradation Performance enhancement Phishing Phishing detection random forest Sociology Statistics Target detection Visualization Websites
ISSN:	1932-4537, 1932-4537
Online-Zugang:	Volltext
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