Research Article Open Access

Artificial Neural System for Packet Filtering

M. I. Buhari, M. H. Habaebi and B. M. Ali

Abstract

In this study, we analyzed the use of neural network for packet filtering. The neural network system was designed in eight ways with input to the neural network in the form of either access rules or optimized access rules or binary form of access rules or representing wildcards as 0 and 255, or combination of them. These trained neural networks were analyzed for their correctness and the performance aspects such as training time using test data. In order to further improve the security, the data related to the local usage of the network was also used to train the network. An example of implementing these trained systems in active networks packet filtering was presented.

Journal of Computer Science
Volume 1 No. 2, 2005, 259-269

DOI: https://doi.org/10.3844/jcssp.2005.259.269

Submitted On: 18 December 2004 Published On: 30 June 2005

How to Cite: Buhari, M. I., Habaebi, M. H. & Ali, B. M. (2005). Artificial Neural System for Packet Filtering. Journal of Computer Science, 1(2), 259-269. https://doi.org/10.3844/jcssp.2005.259.269

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Keywords

  • Packet Filtering
  • Back Propagation
  • Firewall
  • Active Network
  • TCP