PUMD: a PU learning-based malicious domain detection framework

PUMD: a PU learning-based malicious domain detection framework

Abstract Domain name system (DNS), as one of the most critical internet infrastructure, has been abused by various cyber attacks. Current malicious domain detection capabilities are limited by insufficient credible label information, severe class imbalance, and incompact distribution of domain sampl...

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Bibliographic Details
Main Authors: Zhaoshan Fan, Qing Wang, Haoran Jiao, Junrong Liu, Zelin Cui, Song Liu, Yuling Liu
Format: Article
Language:English
Published: SpringerOpen 2022-10-01
Series:Cybersecurity
Subjects:
Malicious domain detection
Insufficient credible label information
Class imbalance
Incompact distribution
PU learning
Online Access:https://doi.org/10.1186/s42400-022-00124-x

Internet

https://doi.org/10.1186/s42400-022-00124-x

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