A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
A NETWORK BASED INTRUSION DETECTION MODEL USING NEURAL NETWORK
2003
International Conference on Aerospace Sciences and Aviation Technology
Intrusion detection systems (IDS) have become an essential issue for computer networks security since each one is vulnerable for violation. This paper presents a neural network based implementation of an intrusion detection system to detect network based attacks. The key idea is to extract the most useful set of features from the packets traversing through the network and utilize them to describe users behavior. These selected features will be used an input features to train a designed neural
doi:10.21608/asat.2013.24707
fatcat:ldu4snepxvfq7g4gvre6vkjxku