Deep Neural Networks for Industrial Protocol Recognition and Cipher Suite Used
Author:
Affiliation:
1. Brno University of Technology FEEC,Dept. of Telecommunications,Brno,Czech Republic,616 00
Funder
Technology Agency of the Czech Republic
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9896399/9896404/09896532.pdf?arnumber=9896532
Reference18 articles.
1. Artificial Neural Networks for detecting Intrusions: A survey
2. Encrypted DNP3 Traffic Classification Using Supervised Machine Learning Algorithms
3. Traffic Data Classification to Detect Man-in-the-Middle Attacks in Industrial Control System
4. ICLSTM: Encrypted Traffic Service Identification Based on Inception-LSTM Neural Network
5. Nowhere to hide;shi;Security and Communication Networks,2021
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1. Exploring the power of convolutional neural networks for encrypted industrial protocols recognition;Sustainable Energy, Grids and Networks;2024-06
2. Comparative Analysis of Classification Methods and Suitable Datasets for Protocol Recognition in Operational Technologies;Algorithms;2024-05-11
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