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DOI Prefix: 10.47001/IRJIET

Survey of Computer Network Traffic Analysis Using Artificial Intelligence Algorithms

Osama Yassin MohammedStudent, Department of Computer Science, College of Computer & Math., University of Mosul, IraqIbrahim Ahmed SalehProfessor, Department of Software, College of Computer & Math., University of Mosul, Iraq

Vol 8 No 12 (2024): Volume 8, Issue 12, December 2024 | Pages: 11-19

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 09-12-2024

doi Logo doi.org/10.47001/IRJIET/2024.812002

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Abstract

This paper introduces a literature review and experimental scenario for network construction; the paper analyzes the network traffic analysis status with artificial intelligence algorithms such as machine learning (ML), ensemble learning, and deep learning for study about analysis in traffic, cybersecurity, balanced loading of network and prediction the traffic moving. The technical aspects of AI are used to analyze and detect attacks or conjunctions for large amounts of network data, thereby detecting anomalies or malicious activities that affect networks. Also, when training deep learning such as convolution neural networks (CNN) or recurrent neural networks (RNN) for datasets (historical data), learn benign network behavior as well as anomalies that may result from malicious activities. The paper introduces how AI technology is used to detect security threats and analyze networks on an outstanding basis.

Keywords

Network Analysis, Intelligence Algorithms, Network Security, Anomaly Detection, Cyber Threat Detection


Citation of this Article

Osama Yassin Mohammed, & Ibrahim Ahmed Saleh. (2024). Survey of Computer Network Traffic Analysis Using Artificial Intelligence Algorithms. International Research Journal of Innovations in Engineering and Technology - IRJIET, 8(12), 11-19. Article DOI https://doi.org/10.47001/IRJIET/2024.812002

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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