Data Mining + Malware = Improved Analysis

Using thousands of malicious, known good, and targeted documents, a classifier was trained and tested using multiple algorithms with a high success rate. Each PDF from the dataset would be transformed from its native format to a flat vector of unweighted features that would then be fed to a learner. After training the learner, several tests were ran using known techniques to evaluate classifier success in order to identify how successful the project was.