Fast-flucos:malicious domain name detection method for Fast-flux based on DNS traffic
There are three weaknesses in previous Fast-flux domain name detection method on the aspects of stability,targeting,and applicability to common real-world DNS traffic environment.For this,a method based on DNS traffic,called Fast-flucos was proposed.Firstly,the traffic anomaly filtering and associat...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2020-05-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020094/ |
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| Summary: | There are three weaknesses in previous Fast-flux domain name detection method on the aspects of stability,targeting,and applicability to common real-world DNS traffic environment.For this,a method based on DNS traffic,called Fast-flucos was proposed.Firstly,the traffic anomaly filtering and association matching algorithms were used for improving detection stability.Secondly,the features,quantified geographical width,country list,and time list,were applied for better targeting Fast-flux domains.Lastly,the feature extraction were finished by the more suitable samples for trying to adapt to common real-world DNS traffic.Several machine learning algorithms including deep learning are tried for determining the best classifier and feature combination.The experimental result based on real-world DNS traffic shows that Fast-flucos’ recall rate is 0.998 6,precision is 0.976 7,and ROC_AUC is 0.992 9,which are all better than the current main stream approaches,such as EXPOSURE,GRADE and AAGD. |
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| ISSN: | 1000-436X |