Artificial immune system based on real valued negative selection algorithms for anomaly detection
The Real-Valued Negative Selection Algorithms, which are the focal point of this research, generate their detector sets based on the points of self data. Self data are regarded as the normal behavioral pattern of the monitored system. In this research, the Real-Valued Negative Selection with fixed-s...
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| Format: | Abschlussarbeit |
| Sprache: | English English English |
| Veröffentlicht: |
2015
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| Online Zugang: | http://eprints.uthm.edu.my/1446/2/RIHAB%20SALAH%20KHAIRI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1446/1/24p%20RIHAB%20SALAH%20KHAIRI.pdf http://eprints.uthm.edu.my/1446/3/RIHAB%20SALAH%20KHAIRI%20WATERMARK.pdf |