[1] Cotton M, Eggert L, Touch J, et al. Internet Assigned Numbers Authority (IANA) Procedures for the Management of the Transport Protocol Port Number and Service Name Registry[J]. American Journal of Tropical Medicine & Hygiene, 2011, 85(5):957-960.
[2] Sherry J, Lan C, Popa R A, et al. BlindBox: Deep Packet Inspection over Encrypted Traffic[J]. Acm Sigcomm Computer Communication Review, 2015, 45(4):213-226.
[3] Finsterbusch M, Richter C, Rocha E, et al. A Survey of Payload-Based Traffic Classification Approaches[J]. IEEE Communications Surveys & Tutorials, 2014, 16(2):1135-1156.
[4] He H. A Network Traffic Classification Method Using Support Vector Machine with Feature Weighted-Degree[J]. Journal of Digital Information Management, 2017, 15(2):76-83.
[5] Nguyen T T T, Armitage G J. A Survey of Techniques for Internet Traffic Classification Using Machine Learning[J]. IEEE Communications Surveys & Tutorials, 2008, 10(3):56-76.
[6] Park B,Hong W K,Won Y J.Toward Fine-Grained Traffic Classification[J].IEEE Communications Magazine,2011,49(7):104-111.
[7] Lecun Y,Bengio Y,Hinton G.Deep Learning[J].Nature,2015,521(7553):436-444.
[8] Kabanga E K,Kim C H.Malware Images Classification Using Convolutional Neural Network[J].Journal of Computer & Communications,2018,6(1):153-158.
[9] He K, Zhang X, Ren S, et al. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2014, 37(9):1904-1916.
[10] Wang W,Zhu M,Wang J,et al.End-to-End Encrypted Traffic Classification with One-Dimensional Convolution Neural Networks[C]//IEEE International Conference on Intelligence and Security Informatics. Beijing, China:IEEE, 2017:43-48.
[11] Lotfollahi M,Zade R S H,Siavoshani M J,et al.Deep Packet: A Novel Approach for Encrypted Traffic Classification Using Deep Learning[J]. Soft Computing, 2020, 24(3):1999-2012.
[12] Bengio Y,Simard P,Frasconi P.Learning Long-Term Dependencies with Gradient Descent is Difficult[J]. IEEE Transactions on Neural Networks, 1994, 5(2):157-166.
[13] He K,Zhang X,Ren S,et al.Deep Residual Learning for Image Recognition[C]//IEEE Conference on Computer Vision & Pattern Recognition. Las Vegas, NV, USA:IEEE, 2016:770-778.
[14] Lecun Y, Bottou L. Gradient-Based Learning Applied to Document Recognition[J]. Proceedings of the IEEE, 1998, 86(11):2278-2324.
[15] Dainotti A, Pescape A, Claffy K C. Issues and Future Directions in Traffic Classification[J]. IEEE Network, 2012, 26(1):35-40.
