Volume 12, Issue 5 (May 2025), Pages: 255-261

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 Original Research Paper

Improved network traffic classification using hashing techniques in machine and deep learning

 Author(s): 

 Mohammed Altaimimi *

 Affiliation(s):

 Department of Information and Computer Science, College of Computer Science and Engineering, University of Ha’il, Ha’il, Saudi Arabia

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 * Corresponding Author. 

   Corresponding author's ORCID profile:  https://orcid.org/0000-0002-4170-6910

 Digital Object Identifier (DOI)

  https://doi.org/10.21833/ijaas.2025.05.024

 Abstract

The rapid global growth of the internet, driven by advancements in fiber and 5G technology, multi-device access, and affordable services, has increased the pressure on internet service providers to classify network traffic efficiently. Accurate traffic classification and protocol identification are critical for detecting malicious activity. This study introduces a new method that enhances machine learning and deep learning models by applying hashing techniques to convert string-based IP addresses into numerical values. The improved models demonstrate a significant boost in accuracy, increasing from 76% to 83%, along with better recall and F1-scores in key categories. These findings highlight the potential of hashing techniques to improve the performance of machine learning models in network traffic classification tasks.

 © 2025 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords

 Network traffic, Machine learning, Deep learning, Hashing techniques, Traffic classification

 Article history

 Received 31 December 2024, Received in revised form 8 May 2025, Accepted 20 May 2025

 Acknowledgment

This research has been funded by the Scientific Research Deanship at the University of Ha’il, Saudi Arabia, through project number BA-2207. 

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Altaimimi M (2025). Improved network traffic classification using hashing techniques in machine and deep learning. International Journal of Advanced and Applied Sciences, 12(5): 255-261

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 Tables

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