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
Notes
Submitted to the School of Engineering and Information Technology of the Faculty of Science and Technology, Deakin University
Thesis (Ph.D.)--Deakin University, Victoria, 2006
Bibliography
Includes bibliographical references (pages 229-248)
