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About Network Traffic Identification Using Deep Learning: Anand G. Jitendra K. Darren L. Gokulnath M
This document presents a deep learning model for network traffic identification. It discusses shortcomings of current methods like port-based and signature-based classification. The proposed method uses a CNN-LSTM architecture to identify traffic types from preprocessed PCAP files. It achieved 86-90% accuracy on 7 traffic classes. Future work includes improving the model using pre-trained networks and addressing class imbalance.
Detailed Information
| Author: | ['lolwhatman'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 18 |
| Language: | English |
| Format: | |
| Price: | FREE |
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