Author:
Hussain Ahmed Mohamed,Oligeri Gabriele,Voigt Thiemo
Publisher
Springer International Publishing
Reference18 articles.
1. Li, W., Moore, A.W.: A machine learning approach for efficient traffic classification. In: 2007 15th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, pp. 310–317. IEEE (2007)
2. Shahid, M.R., Blanc, G., Zhang, Z., Debar, H.: IoT devices recognition through network traffic analysis. In: 2018 IEEE International Conference on Big Data (Big Data), pp. 5187–5192. IEEE (2018)
3. Sivanathan, A., Sherratt, D., Gharakheili, H.H., Sivaraman, V., Vishwanath, A.: Low-cost flow-based security solutions for smart-home IoT devices. In: 2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 1–6. IEEE (2016)
4. Sciancalepore, S., Ibrahim, O.A., Oligeri, G., Di Pietro, R.: PiNcH: an effective, efficient, and robust solution to drone detection via network traffic analysis. Comput. Netw. 168, 107044 (2020). http://www.sciencedirect.com/science/article/pii/S1389128619311764
5. Caprolu, M., Raponi, S., Oligeri, G., Di Pietro, R.: Cryptomining makes noise: a machine learning approach for cryptojacking detection. https://arxiv.org/abs/1910.09272
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