Effective Encrypted Traffic Analysis
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-5015-7_33
Reference14 articles.
1. Alshammari R, Zincir-Heywood AN (2009) Machine learning based encrypted traffic classification: identifying SSH and skype. In: IEEE symposium on computational intelligence for security and defense applications, 2009. CISDA 2009. IEEE, pp 1–8
2. Yu T, Zou F, Li L, Yi P (2019) An encrypted malicious traffic detection system based on neural network. In: 2019 international conference on cyber-enabled distributed computing and knowledge discovery (CyberC), pp 62–70. https://doi.org/10.1109/CyberC.2019.00020
3. Baldini G (2020) Analysis of encrypted traffic with time-based features and time frequency analysis. In: 2020 global internet of things summit (GIoTS), pp 1–5. https://doi.org/10.1109/GIOTS49054.2020.9119528
4. Ma Q, Huang W, Jin Y, Mao J (2021) Encrypted traffic classification based on traffic reconstruction. In: 2021 4th international conference on artificial intelligence and big data (ICAIBD), pp 572–576. https://doi.org/10.1109/ICAIBD51990.2021.9459072
5. Ahmad I (2015) Feature selection using particle swarm optimization in intrusion detection. Int J Distrib Sens Netw 11(10):806954
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