HIGHLIGHTS
- who: Multiclassifier Fusion Technology and collaborators from the Information Center, Yunnan Power Grid CoLtd, Kunming, Yunnan, China Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and of China have published the research work: Network Intrusion Anomaly Detection Model Based on Multiclassifier Fusion Technology, in the Journal: Mobile Information Systems of 14/09/2022
- what: To improve the accuracy of the unsupervised detection methods this study proposes a network anomaly detection model based on multiple classifer which applies diferent techniques (such as Majority Vote Weighted Majority Vote and Naive Bayes) to . . .
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