Algorithm for Recognition of Network Traffic Anomalies Based on Artificial Intelligence-Reference-Cited by-同舟云学术

Algorithm for Recognition of Network Traffic Anomalies Based on Artificial Intelligence

Published:2023-06-08 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
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Author:

Laptiev Oleksandr¹,Musienko Andrii²,Nakonechnyi Volodymyr¹,Sobchuk Andrii³,Gakhov Sergii⁴,Kopytko Serhii⁵

Affiliation:

1. Shevchenko National University,Doctor of Technical Sciences, Faculty of information tehnology,Department of Cyber Security and Information Protection Taras,Kyiv,Ukraine

2. National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”,Doctor of Technical Sciences,Docent Department of Software Engineering in Energy,Kyiv,Ukraine

3. State University of Telecommunication,Doctor of philosophy,Department of Information and Cyber Security,Kyiv,Ukraine

4. State University of Telecommunication,Candidate of Military Sciences,Docent Department of Information and Cyber Security,Kyiv,Ukraine

5. State University of Intellectual Technologies and Communication,Candidate of Economic Sciences,Department of cyber security and technical information protection,Odesa,Ukraine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10156655/10155769/10156702.pdf?arnumber=10156702

Reference21 articles.

1. A NOTE ON WEIGHTED SOBOLEV SPACES RELATED TO WEAKLY AND STRONGLY DEGENERATE DIFFERENTIAL OPERATORS

2. The Method of Solving Problems of Optimal Restoration of Telecommunication Signals

3. Model of Functioning Data-Transfer Systems Special Purposes Taking into Account the Influence of Cyber Attack

4. Features of modeling failures of recoverable complex technical objects with a hierarchical constructive structure

5. The Indirect method of obtaining Estimates of the Parameters of Radio Signals of covert means of obtaining Information

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