Dynamic analyses of malware
This thesis examines machine learning techniques for detecting malware using dynamic runtime opcodes. Previous work in the field has faltered on inadequately sized and poorly sampled datasets. A novel run-trace dataset is presented, the largest in the literature to date. Using this dataset, malware...
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Queen's University Belfast
2018
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| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.766287 |