@article {10.3844/jcssp.2005.259.269,
article_type = {journal},
title = {Artificial Neural System for Packet Filtering},
author = {Buhari, M. I. and Habaebi, M. H. and Ali, B. M.},
volume = {1},
number = {2},
year = {2005},
month = {Jun},
pages = {259-269},
doi = {10.3844/jcssp.2005.259.269},
url = {https://thescipub.com/abstract/jcssp.2005.259.269},
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 = {Journal of Computer Science},
publisher = {Science Publications}
}