Design and Implementation of a Data Mining System for Malware Detection.

Autor:	Thuraisingham, Bhavani, Al-Khatib, Tahseen, Khan, Latifur, Masud,, Mehedy, Hamlen, Kevin, Khadilkar, Vaibhav, Abrol, Satyen
Předmět:	DATA mining MALWARE MACHINE learning COMPUTER software installation ANTI-malware (Computer software) COMPUTER security AUTOMATIC extracting (Information science)
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
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