
487Attacks on Social Media andData Analytics Solutions
of detecting malware by using data mining (Kolter and Maloof, 2004; Masud et al., 2008a; Schultz
et al., 2001) involves classifying each executable as either benign or malicious. Most past works
have approached the problem as a static data classication problem, where the classication model
is trained with xed training data. However, the escalating rate of malware evolution and innovation
is not well suited to static training. Detection of continuously evolving malware is better treated as a
data stream classication problem. In this paradigm, the data stream is a sequence of executables ...