{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T04:45:41Z","timestamp":1766378741330,"version":"3.48.0"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819665907"},{"type":"electronic","value":"9789819665914"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-6591-4_21","type":"book-chapter","created":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T08:38:53Z","timestamp":1750667933000},"page":"304-318","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["TSIV: A Two-Stage Approach for\u00a0Identifying Encrypted Video Traffic in\u00a0Unstable Network"],"prefix":"10.1007","author":[{"given":"Die","family":"Hu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingguo","family":"Ge","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liangxiong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weitao","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,6,24]]},"reference":[{"key":"21_CR1","doi-asserted-by":"publisher","first-page":"76731","DOI":"10.1109\/ACCESS.2022.3192458","volume":"10","author":"W Afandi","year":"2022","unstructured":"Afandi, W., Bukhari, S., Khan, M., Maqsood, T., Khan, S.U.: Fingerprinting technique for YouTube videos identification in network traffic. IEEE Access 10, 76731\u201376741 (2022). https:\/\/doi.org\/10.1109\/ACCESS.2022.3192458","journal-title":"IEEE Access"},{"doi-asserted-by":"publisher","unstructured":"Du, M., Xu, M., Liu, K., Tang, W., Zheng, L., Liu, Q.: Long-short terms frequency: a method for encrypted video streaming identification. In: 2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 1581\u20131588 (2023). https:\/\/doi.org\/10.1109\/CSCWD57460.2023.10151992","key":"21_CR2","DOI":"10.1109\/CSCWD57460.2023.10151992"},{"issue":"12","key":"21_CR3","doi-asserted-by":"publisher","first-page":"3039","DOI":"10.1109\/TIFS.2017.2730819","volume":"12","author":"R Dubin","year":"2017","unstructured":"Dubin, R., Dvir, A., Pele, O., Hadar, O.: I know what you saw last minute-encrypted http adaptive video streaming title classification. IEEE Trans. Inf. Forensics Secur. 12(12), 3039\u20133049 (2017). https:\/\/doi.org\/10.1109\/TIFS.2017.2730819","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"doi-asserted-by":"publisher","unstructured":"Ghabashneh, E., Rao, S.: Exploring the interplay between CDN caching and video streaming performance. In: IEEE INFOCOM 2020 - IEEE Conference on Computer Communications, pp. 516\u2013525 (2020). https:\/\/doi.org\/10.1109\/INFOCOM41043.2020.9155338","key":"21_CR4","DOI":"10.1109\/INFOCOM41043.2020.9155338"},{"doi-asserted-by":"publisher","unstructured":"Gu, J., Wang, J., Yu, Z., Shen, K.: Walls have ears: traffic-based side-channel attack in video streaming. In: IEEE INFOCOM 2018 - IEEE Conference on Computer Communications, pp. 1538\u20131546 (2018). https:\/\/doi.org\/10.1109\/INFOCOM.2018.8486211","key":"21_CR5","DOI":"10.1109\/INFOCOM.2018.8486211"},{"issue":"3","key":"21_CR6","doi-asserted-by":"publisher","first-page":"972","DOI":"10.1109\/TNET.2019.2906568","volume":"27","author":"J Gu","year":"2019","unstructured":"Gu, J., Wang, J., Yu, Z., Shen, K.: Traffic-based side-channel attack in video streaming. IEEE\/ACM Trans. Netw. 27(3), 972\u2013985 (2019). https:\/\/doi.org\/10.1109\/TNET.2019.2906568","journal-title":"IEEE\/ACM Trans. Netw."},{"doi-asserted-by":"publisher","unstructured":"Khan, M.U.S., Bukhari, S.M.A.H., Khan, S.A., Maqsood, T.: ISP can identify YouTube videos that you just watched. In: 2021 International Conference on Frontiers of Information Technology (FIT), pp.\u00a01\u20136 (2021). https:\/\/doi.org\/10.1109\/FIT53504.2021.00011","key":"21_CR7","DOI":"10.1109\/FIT53504.2021.00011"},{"doi-asserted-by":"publisher","unstructured":"Ledwich, M., Zaitsev, A.: Algorithmic extremism: examining YouTube\u2019s rabbit hole of radicalization. First Monday (2020). https:\/\/doi.org\/10.5210\/fm.v25i3.10419","key":"21_CR8","DOI":"10.5210\/fm.v25i3.10419"},{"doi-asserted-by":"publisher","unstructured":"Li, Y., et al.: Deep content: unveiling video streaming content from encrypted WiFi traffic. In: 2018 IEEE 17th International Symposium on Network Computing and Applications (NCA), pp.\u00a01\u20138 (2018). https:\/\/doi.org\/10.1109\/NCA.2018.8548317","key":"21_CR9","DOI":"10.1109\/NCA.2018.8548317"},{"doi-asserted-by":"publisher","unstructured":"Li, Z., Chen, J., Ma, X., Du, M., Zhang, Z., Liu, Q.: A robust and accurate encrypted video traffic identification method via graph neural network. In: 2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 867\u2013872 (2023). https:\/\/doi.org\/10.1109\/CSCWD57460.2023.10152581","key":"21_CR10","DOI":"10.1109\/CSCWD57460.2023.10152581"},{"doi-asserted-by":"publisher","unstructured":"Reed, A., Klimkowski, B.: Leaky streams: identifying variable bitrate dash videos streamed over encrypted 802.11n connections. In: 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC), pp. 1107\u20131112 (2016). https:\/\/doi.org\/10.1109\/CCNC.2016.7444944","key":"21_CR11","DOI":"10.1109\/CCNC.2016.7444944"},{"doi-asserted-by":"crossref","unstructured":"Roelleke, T., Wang, J.: Tf-idf uncovered: a study of theories and probabilities. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 435\u2013442 (2008)","key":"21_CR12","DOI":"10.1145\/1390334.1390409"},{"unstructured":"Sandvine, X.: 2023 global internet phenomena report, Technical report, Sandvine (2023)","key":"21_CR13"},{"unstructured":"Schuster, R., Shmatikov, V., Tromer, E.: Beauty and the burst: remote identification of encrypted video streams. In: 26th USENIX Security Symposium (USENIX Security 17), pp. 1357\u20131374. USENIX Association, Vancouver, BC (2017)","key":"21_CR14"},{"doi-asserted-by":"crossref","unstructured":"Siffer, A., Fouque, P.A., Termier, A., Largouet, C.: Anomaly detection in streams with extreme value theory. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1067\u20131075 (2017)","key":"21_CR15","DOI":"10.1145\/3097983.3098144"},{"key":"21_CR16","doi-asserted-by":"publisher","first-page":"113567","DOI":"10.1109\/ACCESS.2020.3003378","volume":"8","author":"J Song","year":"2020","unstructured":"Song, J., Lee, S., Kim, B., Seol, S., Lee, B., Kim, M.: VTIM: video title identification using open metadata. IEEE Access 8, 113567\u2013113584 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.3003378","journal-title":"IEEE Access"},{"doi-asserted-by":"publisher","unstructured":"Tang, W., Du, M., Li, Z., Li, S., Zhou, Z., Liu, Q.: Shrink: identification of encrypted video traffic based on QUIC. In: 2023 IEEE International Performance, Computing, and Communications Conference (IPCCC), pp. 140\u2013149 (2023). https:\/\/doi.org\/10.1109\/IPCCC59175.2023.10253830","key":"21_CR17","DOI":"10.1109\/IPCCC59175.2023.10253830"},{"doi-asserted-by":"publisher","unstructured":"Wu, H., Yu, Z., Cheng, G., Guo, S.: Identification of encrypted video streaming based on differential fingerprints. In: IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 74\u201379 (2020). https:\/\/doi.org\/10.1109\/INFOCOMWKSHPS50562.2020.9162914","key":"21_CR18","DOI":"10.1109\/INFOCOMWKSHPS50562.2020.9162914"},{"doi-asserted-by":"publisher","unstructured":"Yang, L., Fu, S., Luo, Y., Shi, J.: Markov probability fingerprints: a method for identifying encrypted video traffic. In: 2020 16th International Conference on Mobility, Sensing and Networking (MSN), pp. 283\u2013290 (2020). https:\/\/doi.org\/10.1109\/MSN50589.2020.00055","key":"21_CR19","DOI":"10.1109\/MSN50589.2020.00055"},{"key":"21_CR20","doi-asserted-by":"publisher","first-page":"103623","DOI":"10.1016\/j.cose.2023.103623","volume":"137","author":"X Zhang","year":"2024","unstructured":"Zhang, X., et al.: Traffic spills the beans: a robust video identification attack against YouTube. Comput. Secur. 137, 103623 (2024). https:\/\/doi.org\/10.1016\/j.cose.2023.103623","journal-title":"Comput. Secur."}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-6591-4_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T04:43:45Z","timestamp":1766378625000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-6591-4_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819665907","9789819665914"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-6591-4_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"24 June 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Auckland","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New Zealand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iconip2024.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}