TY - JOUR
T1 - Design and implementation of a data mining system for malware detection
AU - Thuraisingham, Bhavani
AU - Al-Khatib, Tahseen
AU - Khan, Latifur
AU - Masud, Mehedy
AU - Hamlen, Kevin
AU - Khadilkar, Vaibhav
AU - Abrol, Satyen
PY - 2012/12/1
Y1 - 2012/12/1
N2 - 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.
AB - 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.
KW - Data mining
KW - machine learning
KW - malware detection
KW - stream-based novel class detection
KW - streambased classification
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U2 - 10.3233/jid-2012-0016
DO - 10.3233/jid-2012-0016
M3 - Article
AN - SCOPUS:84873577659
SN - 1092-0617
VL - 16
SP - 33
EP - 49
JO - Journal of Integrated Design and Process Science
JF - Journal of Integrated Design and Process Science
IS - 2
ER -