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Benign Software Corpus

With new variants of malware coming out every day, Anti-Malware applications have an increasingly difficult job detecting malware and protecting computers from it. It is estimated that more than 1 million new malware variants are produced every single day. However, the number of benign software programs a legitimate user may wish to run is far lower. We propose the creation of a benign software corpus, and the collection of statistical data about the attributes of the files in the corpus. Comparison of unknown or untrusted hosts and/or the executable files they contain with the data in this corpus will allow Anti-Malware applications to determine that a file is likely benign, a much easier task than determining whether the file is likely malicious.