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Cybersecurity Decision Engine to Identify Best System Defenses

Marco Carvalho, researcher at FIT, has developed a “decision engine” that uses a genetic algorithm to determine the best defense against system threats. The research is aimed at government use, but the team is also developing a version for the public to enhance their cybersecurity measures.

“We are building intelligent algorithms capable of optimizing complex cyber defense infrastructures on demand, and in collaboration with human analysts,” Carvalho said. The patented engine has an interface where users can interact and provide feedback on the proposed defense solutions for the continued improvement of the system.

 

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