Computational immunology for anomaly detection
Data(s) |
01/01/2006
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Resumo |
The thesis makes a significant contribution to the issue of anomaly detection by introducing a computational immunology approach. Immunity-based anomaly detection in high dimensional space is systematically investigated and the proposed hybrid method (combining data mining techniques and computational immunology) improves both accuracy and efficiency. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Deakin University, Faculty of Science and Technology, School of Engineering and Information Technology |
Palavras-Chave | #Anomaly detection (Computer security) #Immunoinformatics |
Tipo |
Thesis |