A Survey of Traffic Classification Technology for Smart Home Based on Machine Learning

Author:

Chen JieORCID,Liu Yaping,Zhang Shuo,Chen Bing,Han Zhiyu

Publisher

Springer International Publishing

Reference30 articles.

1. Ren, J.J., Dubois, D.J., Choffnes, D., et al.: Information exposure from consumer IoT devices: a multidimensional, network-informed measurement approach. In: Proceedings of the Internet Measurement Conference, 21–23 October 2019, pp. 267–279. Association for Computing Machinery, New York (2019)

2. Hammad, M.M., Shafiq, Z.: Characterizing smart home IoT traffic in the wild. In: 2020 ACM Fifth International Conference on Internet-of-Things Design and Implementation (IoTDI), Sydney, Australia, 21–24 April 2020, pp. 203–215. Association for Computing Machinery, New York (2020)

3. Jun, B., Jingbo, Jixiang, W.: Survey on real-time traffic classification. Comput. Sci. 37(6), 1402–1412 (2019)

4. Apthorpe, N.J.: Spying on the smart home: privacy attacks and defenses on encrypted IoT traffic. arXiv: 1708.05044 (2017)

5. Marchal, S., Miettinen, M., Nguyen, T.D., et al.: AuDI: toward autonomous IoT device-type identification using periodic communication. IEEE J. Sel. Areas Commun. 37(6), 1402–1412 (2019)

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