Enhancing firewall filter performance using neural networks

Heba Saleous, Zouheir Trabelsi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The Internet has grown to a point where people all over the world have grown dependent of the convenient communication medium that is being provided. However, with this dependency, malicious traffic has become a major concern. Because of this, firewalls are a mandatory part of any network, due to their ability to filter the traffic based on rules that state which packets should be accepted or denied. However, filter rules must be manually configured by a network administrator, and packets that do not fit any rule may be subject to wrong judgment by the firewall. This can become tedious in larger networks. Neural networks can learn the filter rules that have been set by administrators in order to decide if packets that do not fit any specific rules should be accepted or denied. The neural network will be trained with existing packet data and their firewall actions, and then tested to determine its filtering accuracy compared to the firewall.

Original languageEnglish
Title of host publication2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1853-1859
Number of pages7
ISBN (Electronic)9781538677476
DOIs
Publication statusPublished - Jun 2019
Event15th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2019 - Tangier, Morocco
Duration: Jun 24 2019Jun 28 2019

Publication series

Name2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019

Conference

Conference15th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2019
Country/TerritoryMorocco
CityTangier
Period6/24/196/28/19

Keywords

  • Firewall
  • Network Security
  • Neural Networks
  • Packet filtering

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality

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