Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
453892 | Computers & Electrical Engineering | 2007 | 14 Pages |
Abstract
With the expansion of Internet and its importance, the types and number of the attacks have also grown making intrusion detection an increasingly important technique. In this work we have realized a misuse detection system based on genetic algorithm (GA) approach. For evolving and testing new rules for intrusion detection the KDD99Cup training and testing dataset were used. To be able to process network data in real time, we have deployed principal component analysis (PCA) to extract the most important features of the data. In that way we were able to keep the high level of detection rates of attacks while speeding up the processing of the data.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Zorana Banković, Dušan Stepanović, Slobodan Bojanić, Octavio Nieto-Taladriz,