Generation and use of trained file classifiers for malware detection
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United States of America Patent
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Jan 9, 2018
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May 1, 2017
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May 1, 2017
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Abstract
A method includes training a file classifier from one or more n-gram feature vectors received from a plurality of binary files as input, where the one or more n-gram vectors represent the occurrences of character pairs in printable characters within the file or characters representing the informational entropy sequence of the file. Another method also includes generating, by the file classifier, output including classification data associated with the file based on the one or more n-gram vectors, where the classification data indicates whether the file includes malware.
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