Abstract
This paper describes the design and implementation of a data mining system called SNODMAL (Stream based novel class detection for malware) for malware detection. SNODMAL extends our data mining system called SNOD (Stream-based Novel Class Detection) for detecting malware. SNOD is a powerful system as it can detect novel classes. We also describe the design of SNODMAL++ which is an extended version of SNODMAL.
Original language | English |
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Pages (from-to) | 33-49 |
Number of pages | 17 |
Journal | Journal of Integrated Design and Process Science |
Volume | 16 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2012 |
Externally published | Yes |
Keywords
- Data mining
- machine learning
- malware detection
- stream-based novel class detection
- streambased classification
ASJC Scopus subject areas
- General Engineering