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An internet traffic classification method based on echo state network and improved salp swarm algorithm.

Meijia Zhang1, Wenwen Sun2, Jie Tian1

  • 1School of Data Science and Computer Science, Shandong Women's University, Jinan, Shandong, China.

Peerj. Computer Science
|May 2, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an improved Salp Swarm Algorithm (SSA) to optimize Echo State Networks (ESN) for internet traffic classification. The enhanced method significantly boosts network monitoring, service quality, and security performance.

Keywords:
ClassificationEcho state networkHyperparameter optimizationInternet trafficSalp swarm algorithm

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Area of Science:

  • Computer Science
  • Network Engineering
  • Artificial Intelligence

Background:

  • Internet traffic classification is crucial for network management, impacting service quality and security.
  • Existing methods may lack the accuracy and efficiency needed for complex network traffic patterns.

Purpose of the Study:

  • To develop a novel internet traffic classification method using an optimized Echo State Network (ESN).
  • To enhance the performance of the Salp Swarm Algorithm (SSA) for hyperparameter optimization of the ESN.

Main Methods:

  • An enhanced Salp Swarm Algorithm (SSA) incorporating Tent mapping with reversal learning, polynomial operator, and dynamic mutation was developed.
  • The improved SSA was used to optimize key hyperparameters of the Echo State Network (ESN), including reservoir size, sparsity, spectral radius, and input scale.
  • The optimized ESN was applied to the task of internet traffic classification.

Main Results:

  • The proposed ESN-based method demonstrated superior performance compared to traditional machine learning algorithms.
  • Significant improvements were observed in both per-class metrics and overall accuracy for internet traffic classification.
  • The enhanced SSA effectively optimized ESN hyperparameters, leading to better identification capabilities.

Conclusions:

  • The optimized Echo State Network, utilizing an advanced Salp Swarm Algorithm, presents a highly effective approach for internet traffic classification.
  • This method offers substantial improvements in network monitoring, service quality assurance, and network security.
  • The study highlights the potential of hybrid machine learning models for advanced network analysis.