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title
SecLab - Evolutionary Computation for Improving Malware Analysis
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Evolutionary Computation for Improving Malware Analysis Link to paperAuthorsKevin Leach, Ryan Dougherty, Chad Spensky, Stephanie Forrest, Westley WeimerVenueGI-2019, ICSE workshops proceedings (GI), May 2019AbstractResearch in genetic improvement (GI) conventionally focuses on the improvement of software, including the automated repair of bugs and vulnerabilities as well as the refinement of software to increase performance. Eliminating or reducing vulnerabilities using GI has improved the security of benign software, but the growing volume and complexity of malicious software necessitates better analysis techniques that may benefit from a GI-based approach. Rather than focus on the use of GI to improve individual software artefacts, we believe GI can be applied to the tools used to analyse malicious code for its behaviour. First, malware analysis is critical to understanding the damage caused by an attacker, which GI-based bug repair does not currently address. Second, modern malwar...
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