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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| Format: | Article |
| Language: | zho |
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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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| _version_ | 1841539620044537856 |
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| author | Chang-ling ZHOU Xing-long LUAN Jian-guo XIAO |
| author_facet | Chang-ling ZHOU Xing-long LUAN Jian-guo XIAO |
| author_sort | Chang-ling ZHOU |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ead5da0b2f244c6ebadc17172d832503 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-03-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-ead5da0b2f244c6ebadc17172d8325032025-01-14T06:55:07ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-03-013716517459700103Vector space embedding of DNS query behaviors by deep learningChang-ling ZHOUXing-long LUANJian-guo XIAOA 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.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016064/DNSdeep learningcontextdimension reductionbehavior analysishierarchical clustering |
| spellingShingle | Chang-ling ZHOU Xing-long LUAN Jian-guo XIAO Vector space embedding of DNS query behaviors by deep learning Tongxin xuebao DNS deep learning context dimension reduction behavior analysis hierarchical clustering |
| title | Vector space embedding of DNS query behaviors by deep learning |
| title_full | Vector space embedding of DNS query behaviors by deep learning |
| title_fullStr | Vector space embedding of DNS query behaviors by deep learning |
| title_full_unstemmed | Vector space embedding of DNS query behaviors by deep learning |
| title_short | Vector space embedding of DNS query behaviors by deep learning |
| title_sort | vector space embedding of dns query behaviors by deep learning |
| topic | DNS deep learning context dimension reduction behavior analysis hierarchical clustering |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016064/ |
| work_keys_str_mv | AT changlingzhou vectorspaceembeddingofdnsquerybehaviorsbydeeplearning AT xinglongluan vectorspaceembeddingofdnsquerybehaviorsbydeeplearning AT jianguoxiao vectorspaceembeddingofdnsquerybehaviorsbydeeplearning |