Research on Data Mining of Network Security Hazards Based on Machine Learning Algorithms

With the development and progress of science and technology, an excellent algorithm for data mining of network security hazards is sought, which can effectively discover potential dangers in the network. Based on the XGBoost machine learning algorithm, the differential evolution (DE) algorithm is us...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Applied mathematics and nonlinear sciences Jg. 9; H. 1
Hauptverfasser:	Wu, Liwan, Yang, Chong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Beirut Sciendo 01.01.2024 De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Schlagworte:	05C85 Algorithms Cyber security Cybersecurity Data mining DE algorithm DE-XGBoost algorithm Machine learning XGBoost algorithm
ISSN:	2444-8656, 2444-8656
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!