A COMPARISON STUDY FOR INTRUSION DATABASE (KDD99, NSL-KDD) BASED ON SELF ORGANIZATION MAP (SOM) ARTIFICIAL NEURAL NETWORK
Detecting anomalous traffic on the internet has remained an issue of concern for the community of security researchers over the years. The advances in the area of computing performance, in terms of processing power and storage, have fostered their ability to host resource-intensive intelligent algor...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor's University
2013-02-01
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| Series: | Journal of Engineering Science and Technology |
| Subjects: | |
| Online Access: | http://jestec.taylors.edu.my/Vol%208%20Issue%201%20February%2013/Vol_8_1_107-119_LAHEEB%20M.%20IBRAHIM.pdf |