Performance of packet filtering using back propagation algorithm
In this paper 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 & 255 or c...
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2004
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ukm-14262011-10-11T03:45:18Z http://journalarticle.ukm.my/1426/ Performance of packet filtering using back propagation algorithm M.I.Buhari, M. H. Habaebi, Burhanuddin Mohd.Ali, In this paper 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 & 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 were also used to train the network. An example of implementing these trained systems in active networks packet filtering was presented 2004 Article PeerReviewed M.I.Buhari, and M. H. Habaebi, and Burhanuddin Mohd.Ali, (2004) Performance of packet filtering using back propagation algorithm. Jurnal Kejuruteraan, 16 . http://www.ukm.my/jkukm/index.php/jkukm |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Kebangasaan Malaysia |
| building |
UKM Institutional Repository |
| collection |
Online Access |
| description |
In this paper 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 & 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 were also used to train the network. An example of
implementing these trained systems in active networks packet filtering was presented |
| format |
Article |
| author |
M.I.Buhari, M. H. Habaebi, Burhanuddin Mohd.Ali, |
| spellingShingle |
M.I.Buhari, M. H. Habaebi, Burhanuddin Mohd.Ali, Performance of packet filtering using back propagation algorithm |
| author_facet |
M.I.Buhari, M. H. Habaebi, Burhanuddin Mohd.Ali, |
| author_sort |
M.I.Buhari, |
| title |
Performance of packet filtering using back propagation algorithm |
| title_short |
Performance of packet filtering using back propagation algorithm |
| title_full |
Performance of packet filtering using back propagation algorithm |
| title_fullStr |
Performance of packet filtering using back propagation algorithm |
| title_full_unstemmed |
Performance of packet filtering using back propagation algorithm |
| title_sort |
performance of packet filtering using back propagation algorithm |
| publishDate |
2004 |
| url |
http://journalarticle.ukm.my/1426/ http://journalarticle.ukm.my/1426/ |
| first_indexed |
2023-09-18T19:33:19Z |
| last_indexed |
2023-09-18T19:33:19Z |
| _version_ |
1777405105866276864 |