Method for filtering encrypted traffic using a neural network between an Industrial Internet of things system and Digital Twin-Reference-Cited by-同舟云学术

Method for filtering encrypted traffic using a neural network between an Industrial Internet of things system and Digital Twin

Published:2021-12-15 Issue: Volume: Page:
ISSN:
Container-title:The 5th International Conference on Future Networks & Distributed Systems
language:
Short-container-title:

Author:

Luksha Ivan¹,Duy Dinh Truong²,Karelin Evgenii³,Glushakov Ruslan⁴,Kirichek Ruslan⁵

Affiliation:

1. Dept. of software engineering and computer science, Bonch-Bruevich Saint Petersburg State University of Telecommunications, Russian Federation

2. Posts and Telecommunications Institute of Technology, Faculty of Information, Vietnam

3. Dept. of software engineering and computer science, The Bonch-Bruevich Saint Petersburg State University of Telecommunications, Russian Federation

4. Saint-Petersburg State Pediatric Medical University, Russian Federation

5. The Bonch-Bruevich Saint Petersburg State University of Telecommunications, Dept. of software engineering and computer science, Russian Federation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3508072.3508193

Reference24 articles.

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3. Securing data in Internet of Things (IoT) using cryptography and steganography techniques;Manju Khari;IEEE Transactions on Systems, Man, and Cybernetics: Systems,2019

4. Elhoseny Mohamed and Hassanien Aboul Ella. 2019. Secure data transmission in WSN: an overview. Dynamic wireless sensor networks 115-143. Elhoseny Mohamed and Hassanien Aboul Ella. 2019. Secure data transmission in WSN: an overview. Dynamic wireless sensor networks 115-143.

5. Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial

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