Deep Neural Networks for Industrial Protocol Recognition and Cipher Suite Used

The main objective of this paper is to determine the network traffic parameters to classify the industrial protocol and the cipher suite used without prior knowledge of the network using deep learning. To recognize industrial protocols, our test environment was used to generate a dataset because sui...

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Bibliographic Details

Published in:	2022 IEEE International Carnahan Conference on Security Technology (ICCST) pp. 1 - 7
Main Authors:	Holasova, Eva, Fujdiak, Radek
Format:	Conference Proceeding
Language:	English
Published:	IEEE 07-09-2022
Subjects:	Cipher suite Ciphers Deep learning Industrial testbed Knowledge engineering Modbus Neural networks Protocol recognition Protocols Real-time systems TLS Traffic classification Training
Online Access:	Get full text
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