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Investigation of Traffic Classification Applied to an Astronomical Data Transmission Network of the XAO Using Deep Learning

文献类型：期刊论文

作者Wang,Jie3,4; Zhang,Hai-Long2,3,4; Wang,Na2,4; Ye,Xin-Chen3,4; Wang,Wan-Qiong4; Li,Jia4; Zhang,Meng1,4; Zhang,Ya-Zhou1,4; Du,Xu1,4
刊名Research in Astronomy and Astrophysics
出版日期2023-02-10
卷号23期号:3页码:035003
关键词astronomical databases: miscellaneous virtual observatory tools surveys
ISSN号1674-4527
DOI10.1088/1674-4527/acafc5
产权排序1
英文摘要Abstract A telecommunication network used for the transmission of astronomical observation data, telescope remote control and other astronomical research purposes is a critical infrastructure. The monitoring and analysis of network traffic, which help improve the network performance and the utilization of network resources, are a challenging task. The accurate identification of the astronomical data traffic will effectively improve transmission efficiency. In this paper, a classification method applied to types of traffic containing astronomical data using deep learning is proposed. The advantages of a convolutional neural network model in image classification are exploited to classify types of traffic containing astronomical data. The objective is to identify the mixed traffic in the network and accurately identify types of traffic containing astronomical data. The effectiveness of the model in improving classification accuracy is also discussed. Actual traffic data captured by Tcpdump and Wireshark are tested, and the experimental results indicate that the proposed method can accurately classify types of traffic containing astronomical data.
语种英语
CSCD记录号CSCD:7437937
WOS记录号WOS:000936425200001
出版者National Astromonical Observatories, CAS and IOP Publishing
源URL[http://ir.xao.ac.cn/handle/45760611-7/6257]  
专题新疆天文台_计算机技术室
新疆天文台_110米口径全可动射电望远镜（SmART）_技术成果
光学天文与技术应用研究室_利用南山1米大视场望远镜（NOWT）观测数据的文章
通讯作者Wang,Jie; Zhang,Hai-Long
作者单位1.University of Chinese Academy of Sciences, Beijing 100049, China
2.Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, Nanjing 210008, China
3.National Astronomical Data Center, Beijing 100101, China
4.Xinjiang Astronomical Observatory, Chinese Academy of Sciences, Urumqi 830011, China; wangjie@xao.ac.cn, zhanghailong@xao.ac.cn
推荐引用方式
GB/T 7714		 Wang,Jie,Zhang,Hai-Long,Wang,Na,et al. Investigation of Traffic Classification Applied to an Astronomical Data Transmission Network of the XAO Using Deep Learning[J]. Research in Astronomy and Astrophysics,2023,23(3):035003.
APA Wang,Jie.,Zhang,Hai-Long.,Wang,Na.,Ye,Xin-Chen.,Wang,Wan-Qiong.,...&Du,Xu.(2023).Investigation of Traffic Classification Applied to an Astronomical Data Transmission Network of the XAO Using Deep Learning.Research in Astronomy and Astrophysics,23(3),035003.
MLA Wang,Jie,et al."Investigation of Traffic Classification Applied to an Astronomical Data Transmission Network of the XAO Using Deep Learning".Research in Astronomy and Astrophysics 23.3(2023):035003.

入库方式： OAI收割

来源：新疆天文台

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