In recent years, significant interest has developed around automated malware classification methods and an industry-wide naming convention. However, in the anti-virus industry, virus naming is not a uniformly standardized process and only worsens with each new malware sample. Virus naming cannot be reliable unless the virus analyst can tell if a new sample is part of an existing family in a reasonable amount of time. Previous research in automatic classification has produced several interesting classification methods; however, to our knowledge, none of the methods can deal with
an entire virus collection or produce meaningful results in a reasonable amount of time.
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An Automated Virus Classification System