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The early detection of cybersecurity events such as attacks is challenging given the constantly evolving threat landscape. Even with advanced monitoring, sophisticated attackers can spend more than 100 days in a system before being detected. This paper describes a novel, collaborative framework that assists a security analyst by exploiting the power of semantically rich knowledge representation and reasoning integrated with different machine learning techniques. Our Cognitive Cybersecuritydoi:10.1109/cic.2018.00054 dblp:conf/coinco/NarayananGJOJF18 fatcat:4ezl4cmb5nd3vlp2ycsuhwdswm