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Related Experiment Video

Updated: Mar 11, 2026

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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Performance Evaluation Model for Application Layer Firewalls.

Shichang Xuan1, Wu Yang1, Hui Dong1

  • 1Information Security Research Center, Harbin Engineering University, Harbin, China.

Plos One
|November 29, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces an analytic model for evaluating application layer firewall performance. It optimizes resource allocation to enhance throughput, minimize delay, and reduce packet loss for improved user experience.

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Area of Science:

  • Computer Science
  • Network Security
  • Performance Analysis

Background:

  • Application layer firewalls are crucial for network security but can impact user experience due to performance limitations.
  • Evaluating firewall performance is essential for optimizing network security and user satisfaction.

Purpose of the Study:

  • To develop an analytic model for evaluating application layer firewall capabilities.
  • To determine optimal resource allocation strategies for improving firewall performance under limited resources.

Main Methods:

  • An analytic model based on system analysis was developed.
  • The Erlangian queuing model was used to analyze network, transport, and application layers.
  • Discrete event simulation evaluated the proposed model and resource allocation scenarios.

Main Results:

  • The study identified an optimal resource allocation scheme for application layer firewalls.
  • Performance indicators such as throughput, delay, and packet loss rate were analyzed.
  • The proposed scheme maximizes firewall performance under resource constraints.

Conclusions:

  • The developed analytic model effectively evaluates application layer firewall performance.
  • Optimized resource allocation is key to enhancing firewall efficiency and user experience.
  • This research provides a framework for maximizing firewall performance with limited resources.