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您的检索式：作者名="Zhaoshan Fan"
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| 1 | The Distribution of Tribe Blaptini( Coleoptera,Tenebrionidae) in China显示文摘In this paper,the distribution status of genera and species of the tribe Balptini discovered in China was summarized.According to related data,19 genera and 169 species of the tribe Balptini are distributed in various provinces and regions of China.Different genera and species of the tribe Balptini are distributed in different regions.This study laid the theoretical foundation for further investigation of the evolutionary process of tribe Blaptini in China. | Zhonghua WEI Mingxia GUO Zhaoshan HU Juan XU Yuanying FAN Aimin SHI | 2015 | Agricultural Biotechnology2015，4，2： | 0 |
| 2 | PUMD:a PU learning-based malicious domain detection framework显示文摘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 samples in different malicious activities.This paper proposes a malicious domain detection framework named PUMD,which innovatively introduces Positive and Unlabeled(PU)learning solution to solve the problem of insuffcient label information,adopts customized sample weight to improve the impact of class imbalance,and effectively constructs evidence features based on resource overlapping to reduce the intra-class distance of malicious samples.Besides,a feature selection strategy based on permutation importance and binning is proposed to screen the most informative detection features.Finally,we conduct experiments on the open source real DNS traffic dataset provided by QI-ANXIN Technology Group to evaluate the PUMD framework's abil-ity to capture potential command and control(C&C)domains for malicious activities.The experimental results prove that PUMD can achieve the best detection performance under different label frequencies and class imbalance ratios. | Zhaoshan Fan Qing Wang Haoran Jiao Junrong Liu Zelin Cui Song Liu Yuling Liu | 2023 | Cybersecurity2023，6，1： | 0 |
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