Malicious Traffic classification Using Long Short-Term Memory (LSTM) Model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-021-08359-6.pdf
Reference26 articles.
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3. Wang, W., Zhu, M., Zeng, X., Ye, X., & Sheng, Y (2017) Malware traffic classification using convolutional neural network for representation learning. In 2017 International Conference on Information Networking (ICOIN), (pp. 712–717). Da Nang. https://doi.org/10.1109/ICOIN.2017.7899588.
4. Sethuraman, S. C., Dhamodaran, S., & Vijayakumar, V. (2019). Intrusion detection system for detecting wireless attacks in IEEE 802.11 networks. IET Networks, 8(4), 219–232. https://doi.org/10.1049/iet-net.2018.5050
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