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Over 20 studies have been published in the past decade involving file and data type classification for digital forensics and information security applications. Methods using n-grams as inputs have proven the most successful across a wide variety of types; however, there are mixed results regarding the utility of unigrams and bigrams as inputs independently.(More)
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