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                     IEEE Int’l Workshop on Multimedia Signal Processing. Tampere: IEEE, 2020. 1–6. [doi: 10.1109/MMSP48831.2020.9287117]
                 [29]  Behravesh  R,  Rao  A,  Perez-Ramirez  DF,  Harutyunyan  D,  Riggio  R,  Boman  M.  Machine  learning  at  the  mobile  edge:  The  case  of
                     dynamic adaptive streaming over HTTP (DASH). IEEE Trans. on Network and Service Management, 2022, 19(4): 4779–4793. [doi: 10.
                     1109/TNSM.2022.3193856]
                 [30]  Yu L, Tillo T, Xiao JM. QoE-driven dynamic adaptive video streaming strategy with future information. IEEE Trans. on Broadcasting,
                     2017, 63(3): 523–534. [doi: 10.1109/TBC.2017.2687698]
                 [31]  ISO/IEC 23009–6: 2017 Information technology—Dynamic adaptive streaming over HTTP (DASH)—Part 6: DASH with server push
                     and WebSockets. 2024. https://www.iso.org/standard/71072.html
                 [32]  Comparison of the usage statistics of HTTP/2 for websites. 2024. https://w3techs.com/technologies/comparison/ce-http2
                 [33]  Chaudhary S, Shukla NK, Chakraborty S, Maity M. A dataset for analyzing streaming media performance over HTTP/3 browsers. In:
                     Proc. of the 37th Int’l Conf. on Neural Information Processing Systems. New Orleans: Curran Associates Inc., 2024. 78069–78081.
                 [34]  Wijnants M, Marx R, Quax P, Lamotte W. HTTP/2 prioritization and its impact on Web performance. In: Proc. of the 2018 World Wide
                     Web Conf. Lyon: Int’l World Wide Web Conferences Steering Committee, 2018. 1755–1764. [doi: 10.1145/3178876.3186181]
                 [35]  Belshe M, Peon R, Thomson M. Hypertext transfer protocol version 2 (HTTP/2). RFC 7540, Internet Engineering Task Force, 2015. [doi:
                     10.17487/RFC7540]
                 [36]  Yang LM, Fu SJ, Luo YC, Wang YJ, Zhao WT. A clustering method of encrypted video traffic based on Levenshtein distance. In: Proc.
                     of the 17th Int’l Conf. on Mobility, Sensing and Networking. Exeter: IEEE, 2021. 1–8. [doi: 10.1109/MSN53354.2021.00017]
                 [37]  Schuster  R,  Shmatikov  V,  Tromer  E.  Beauty  and  the  burst:  Remote  identification  of  encrypted  video  streams.  In:  Proc.  of  the  26th
                     USENIX Conf. on Security Symp. Vancouver: USENIX Association, 2017. 1357–1374.
                 [38]  ISO/IEC  23009-8:  2022  Information  technology—Dynamic  adaptive  streaming  over  HTTP  (DASH)—Part  8:  Session-based  DASH
                     operations. 2024. https://www.iso.org/standard/80898.html
                 [39]  Transport Layer Security (tls). 2018. https://datatracker.ietf.org/wg/tls/about/
                 [40]  Zou FT, Yu TD, Xu WL. Encrypted malicious traffic detection based on hidden Markov model. Ruan Jian Xue Bao/Journal of Software,
                     2022, 33(7): 2683–2698 (in Chinese with English abstract). http://www.jos.org.cn/1000-9825/6282.htm [doi: 10.13328/j.cnki.jos.006282]

                 附中文参考文献:
                 [22]  吴桦, 于振华, 程光, 胡晓艳. 大型指纹库场景中加密视频识别方法. 软件学报, 2021, 32(10): 3310–3330. http://www.jos.org.cn/1000-
                     9825/6025.htm [doi: 10.13328/j.cnki.jos.006025]
                 [40]  邹福泰, 俞汤达, 许文亮. 基于隐马尔可夫模型的加密恶意流量检测. 软件学报, 2022, 33(7): 2683–2698. http://www.jos.org.cn/1000-
                     9825/6282.htm [doi: 10.13328/j.cnki.jos.006282]


                             吴桦(1973-), 女, 博士, 副教授, 博士生导师,                刘嵩涛(1998-), 男, 硕士生, 主要研究领域为机
                            CCF  专业会员, 主要研究领域为加密流量分析,                    器学习, 加密流量分类.
                            网络空间安全, 网络态势感知.



                             罗浩(1998-), 男, 硕士生, 主要研究领域为加密                 程光(1973-), 男, 博士, 教授, 博士生导师, CCF

                            流量分析, 加密视频识别.                                杰出会员, 主要研究领域为网络空间安全监测与
                                                                         防护, 网络流量大数据分析, 僵尸网络, APT     攻
                                                                         击检测.


                             赵士顺(2001-), 男, 硕士生, 主要研究领域为加                 胡晓艳(1985-), 女, 博士, 副教授, 博士生导师,

                            密流量分析, 加密视频识别.                               CCF  专业会员, 主要研究领域为加密流量分析,

                                                                         网络空间安全, 未来网络体系结构.
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