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His research focuses on securing networked systems. He is particularly interested in web security, automating the analysis of security incidents, and defending networks from malware. He often combines systems research with machine learning and large-scale data mining techniques to solve challenging computer and network security problems. Perdisci also is interested in broader aspects of networked systems, including Internet-scale measurements, analysis and optimization of systems performance, and the design of networking protocols. In 2012, he received the National Science Foundation CAREER award for a project titled "Automatic Learning of Adaptive Network-Centric Malware Detection Models."