AIS employees present the Malware Analysis and Attributed using Genetic Information (MAAGI) system.
The underlying idea behind the MAAGI system is that there are strong similarities between malware behavior and biological organism behavior, and that applying biologically inspired methods to corpora of malware can help analysts better understand the ecosystem of malware attacks. Due to the sophistication of the malware and the analysis, the MAAGI system relies heavily on artificial intelligence techniques to provide this capability. It has already yielded promising results over its development life and will hopefully inspire more integration between the artificial intelligence and cyber–defense communities.
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