A comparison of the classification of disparate malware collected in different time periods
Islam, Rafiqul, Tian, Ronghua, Moonsamy, Veelasha and Batten, Lynn 2011, A comparison of the classification of disparate malware collected in different time periods, in ATIS 2011 : Workshop proceedingof ATIS 2011. Melbourne, November 9th, 2011. Second Applications and Techniques in Information Security Workshop, Deakin University School of Information Systems, Melbourne, Vic, pp. 22-27.
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It has been argued that an anti-virus strategy based on malware collected at a certain date, will not work at a later date because malware evolves rapidly and an anti-virus engine is faced with a completely new type of executable not as amenable to detection as the first was. In this paper, we test this idea by collecting two sets of malware, the first from 2002 to 2007, the second from 2009 to 2010 to determine how well the anti-virus strategy we developed based on the earlier set  will do on the later set. This anti-virus strategy integrates dynamic and static features extracted from the executables to classify malware by distinguishing between families. The resulting classification accuracies are very close for both datasets, with a difference of only 5.4%, the older malware being more accurately classified than the newer malware. This leads us to conjecture that current anti-virus strategies can indeed be modified to deal effectively with new malware.
Reproduced with the kind permission of the copyright owner.
Field of Research
080303 Computer System Security
Socio Economic Objective
890301 Electronic Information Storage and Retrieval Services
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