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Since the start of the 21st century, computer networks have been through an exponential growth in terms of the network capacity, the number of the users and the type of tasks that are performed over the network. With the resent boom of mobile devices (e.g., Tablet computers, smart phones, smart devices, and wearable computing), the number of network users is bound to increase exponentially. But, most...
Network intrusion detection systems (NIDS) have the challenge to prevent network attacks and unauthorised remote use of computers. In order to achieve this goal, NIDS usually follow two different strategies. The first one aims at detecting forbidden usage of the network and the second one concentrates on finding illegitimate behaviour. The first methodology accomplishes its goal by defining all possible...
The 3 most important issues for anomaly detection based intrusion detection systems by using data mining methods are: feature selection, data value normalization, and the choice of data mining algorithms. In this paper, we study primarily the feature selection of network traffic and its impact on the detection rates. We use KDD CUP 1999 dataset as the sample for the study. We group the features of...
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