Packet-level labeling method for fine-grained multi-webpage browsing behavior recognition
To address the challenge of fine-grained multi-webpage browsing behavior recognition in mixed encrypted traffic under concurrent multi-webpage access, a packet-level labeling method based on inter-packet temporal correlation features, called PLL, was proposed. This method combined one-dimensional co...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2025-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2025122/ |
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| _version_ | 1849390981128912896 |
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| author | GU Yue CHEN Li LI Dan GAO Kaihui |
| author_facet | GU Yue CHEN Li LI Dan GAO Kaihui |
| author_sort | GU Yue |
| collection | DOAJ |
| description | To address the challenge of fine-grained multi-webpage browsing behavior recognition in mixed encrypted traffic under concurrent multi-webpage access, a packet-level labeling method based on inter-packet temporal correlation features, called PLL, was proposed. This method combined one-dimensional convolutional neural networks with multi-head attention mechanisms to learn both local and global temporal correlation features between different packets within the same webpage. Additionally, one-dimensional transposed convolution was employed to restore features to the original packet sequence length, thereby establishing a precise correspondence between each packet and its contextual features. This enabled accurate packet-level labeling and further supported the inference of user’s browsing time information for multiple webpage, such as the start time, end time, and duration of each webpage visit. Experimental results show that PLL achieves 98% and 97% accuracy in identifying visit start time and duration, effectively solving the critical issue of multi-webpage browsing behavior recognition in mixed encrypted traffic. |
| format | Article |
| id | doaj-art-e3e72716688147498690a62b2985d421 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2025-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-e3e72716688147498690a62b2985d4212025-08-20T03:41:14ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2025-07-0146116120191494Packet-level labeling method for fine-grained multi-webpage browsing behavior recognitionGU YueCHEN LiLI DanGAO KaihuiTo address the challenge of fine-grained multi-webpage browsing behavior recognition in mixed encrypted traffic under concurrent multi-webpage access, a packet-level labeling method based on inter-packet temporal correlation features, called PLL, was proposed. This method combined one-dimensional convolutional neural networks with multi-head attention mechanisms to learn both local and global temporal correlation features between different packets within the same webpage. Additionally, one-dimensional transposed convolution was employed to restore features to the original packet sequence length, thereby establishing a precise correspondence between each packet and its contextual features. This enabled accurate packet-level labeling and further supported the inference of user’s browsing time information for multiple webpage, such as the start time, end time, and duration of each webpage visit. Experimental results show that PLL achieves 98% and 97% accuracy in identifying visit start time and duration, effectively solving the critical issue of multi-webpage browsing behavior recognition in mixed encrypted traffic.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2025122/encrypted traffic recognitionmulti-webpage browsing behavior recognitionpacket-level labeling |
| spellingShingle | GU Yue CHEN Li LI Dan GAO Kaihui Packet-level labeling method for fine-grained multi-webpage browsing behavior recognition Tongxin xuebao encrypted traffic recognition multi-webpage browsing behavior recognition packet-level labeling |
| title | Packet-level labeling method for fine-grained multi-webpage browsing behavior recognition |
| title_full | Packet-level labeling method for fine-grained multi-webpage browsing behavior recognition |
| title_fullStr | Packet-level labeling method for fine-grained multi-webpage browsing behavior recognition |
| title_full_unstemmed | Packet-level labeling method for fine-grained multi-webpage browsing behavior recognition |
| title_short | Packet-level labeling method for fine-grained multi-webpage browsing behavior recognition |
| title_sort | packet level labeling method for fine grained multi webpage browsing behavior recognition |
| topic | encrypted traffic recognition multi-webpage browsing behavior recognition packet-level labeling |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2025122/ |
| work_keys_str_mv | AT guyue packetlevellabelingmethodforfinegrainedmultiwebpagebrowsingbehaviorrecognition AT chenli packetlevellabelingmethodforfinegrainedmultiwebpagebrowsingbehaviorrecognition AT lidan packetlevellabelingmethodforfinegrainedmultiwebpagebrowsingbehaviorrecognition AT gaokaihui packetlevellabelingmethodforfinegrainedmultiwebpagebrowsingbehaviorrecognition |