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Automating Malware Detection by Inferring Intent

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Description:     In this thesis, we aim to develop new techniques and systems to automate the detection of new unknown malware because detection is the first step for any reaction. Since there is no single panacea that could be used to detect all malware in every environment,we focus on one important environment, personal computers, and one important type of malware, computer worms.
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