Vector space embedding of DNS query behaviors by deep learning
A novel approach to analyze DNS query behaviors was introduced.This approach embeds queried domains or querying hosts to vector space by deep learning mechan then the relationship between querying of domains or hosts was mapped to vector space operations.By processing two real campus network DNS log...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2016-03-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016064/ |
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| Summary: | A novel approach to analyze DNS query behaviors was introduced.This approach embeds queried domains or querying hosts to vector space by deep learning mechan then the relationship between querying of domains or hosts was mapped to vector space operations.By processing two real campus network DNS log datasets,it is found that this method maintains relationships very well.After doing mension reduction and clustering analysis,researchers can not only easily explore hidden relationships intuitively,but also discover abnormal network events like botnet. |
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| ISSN: | 1000-436X |