Survey of industrial Internet traffic analysis technology
To gain an in-depth awareness of the application of traffic analysis technology in the industrial Internet, the differences between the industrial Internet and the traditional Internet through the five core traffic analysis processes were illustrated. By reviewing a large number of related papers, t...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2024-08-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024145/ |
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| _version_ | 1841539180690145280 |
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| author | LIU Qixu XIAO Juxin TAN Yaokang WANG Chengchun HUANG Hao ZHANG Fangjiao YIN Jie LIU Yuling |
| author_facet | LIU Qixu XIAO Juxin TAN Yaokang WANG Chengchun HUANG Hao ZHANG Fangjiao YIN Jie LIU Yuling |
| author_sort | LIU Qixu |
| collection | DOAJ |
| description | To gain an in-depth awareness of the application of traffic analysis technology in the industrial Internet, the differences between the industrial Internet and the traditional Internet through the five core traffic analysis processes were illustrated. By reviewing a large number of related papers, the application of six popular were summarized in the industrial Internet, such as traffic prediction, protocol identification and reverse engineering, industrial asset fingerprinting, intrusion detection, encrypted traffic identification and vulnerability mining. Depending on the nature of the task, traffic analysis technology was classified into two types of applications, such as service quality enhancement and security capability development, allowing to thoroughly explore the application scenarios of traffic analysis technology in the industrial Internet. Finally, the challenges associated with future traffic analysis applications in the industrial Internet were examined, as well as potential development possibilities. |
| format | Article |
| id | doaj-art-2d5226672e50487db33f437d85642842 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2024-08-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-2d5226672e50487db33f437d856428422025-01-14T07:24:54ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2024-08-014522123769426242Survey of industrial Internet traffic analysis technologyLIU QixuXIAO JuxinTAN YaokangWANG ChengchunHUANG HaoZHANG FangjiaoYIN JieLIU YulingTo gain an in-depth awareness of the application of traffic analysis technology in the industrial Internet, the differences between the industrial Internet and the traditional Internet through the five core traffic analysis processes were illustrated. By reviewing a large number of related papers, the application of six popular were summarized in the industrial Internet, such as traffic prediction, protocol identification and reverse engineering, industrial asset fingerprinting, intrusion detection, encrypted traffic identification and vulnerability mining. Depending on the nature of the task, traffic analysis technology was classified into two types of applications, such as service quality enhancement and security capability development, allowing to thoroughly explore the application scenarios of traffic analysis technology in the industrial Internet. Finally, the challenges associated with future traffic analysis applications in the industrial Internet were examined, as well as potential development possibilities.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024145/industrial Internetindustrial control systemtraffic analysismachine learning |
| spellingShingle | LIU Qixu XIAO Juxin TAN Yaokang WANG Chengchun HUANG Hao ZHANG Fangjiao YIN Jie LIU Yuling Survey of industrial Internet traffic analysis technology Tongxin xuebao industrial Internet industrial control system traffic analysis machine learning |
| title | Survey of industrial Internet traffic analysis technology |
| title_full | Survey of industrial Internet traffic analysis technology |
| title_fullStr | Survey of industrial Internet traffic analysis technology |
| title_full_unstemmed | Survey of industrial Internet traffic analysis technology |
| title_short | Survey of industrial Internet traffic analysis technology |
| title_sort | survey of industrial internet traffic analysis technology |
| topic | industrial Internet industrial control system traffic analysis machine learning |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024145/ |
| work_keys_str_mv | AT liuqixu surveyofindustrialinternettrafficanalysistechnology AT xiaojuxin surveyofindustrialinternettrafficanalysistechnology AT tanyaokang surveyofindustrialinternettrafficanalysistechnology AT wangchengchun surveyofindustrialinternettrafficanalysistechnology AT huanghao surveyofindustrialinternettrafficanalysistechnology AT zhangfangjiao surveyofindustrialinternettrafficanalysistechnology AT yinjie surveyofindustrialinternettrafficanalysistechnology AT liuyuling surveyofindustrialinternettrafficanalysistechnology |