An integrated malware detection and classification system
| Contribuinte(s) |
Batten, Lynn |
|---|---|
| Data(s) |
01/08/2011
|
| Resumo |
This thesis is to develop effective and efficient methodologies which can be applied to continuously improve the performance of detection and classification on malware collected over an extended period of time. The robustness of the proposed methodologies has been tested on malware collected over 2003-2010.<br /> |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
Deakin University, Faculty of Science and Technology, School of Information Technology |
| Relação |
http://dro.deakin.edu.au/eserv/DU:30043244/Tian-thesis-2011.pdf http://dro.deakin.edu.au/eserv/DU:30043244/tian-licence-2012.pdf http://dro.deakin.edu.au/eserv/DU:30043244/tian-summaryofthesis-2012.pdf |
| Direitos |
The author |
| Tipo |
Thesis |
