Autor: |
Thuraisingham, Bhavani, Al-Khatib, Tahseen, Khan, Latifur, Masud,, Mehedy, Hamlen, Kevin, Khadilkar, Vaibhav, Abrol, Satyen |
Předmět: |
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Zdroj: |
Journal of Integrated Design & Process Science; 2012, Vol. 16 Issue 2, p33-49, 17p |
Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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