Explore a cutting-edge conference talk on malware classification and concept drift in cybersecurity. Delve into the research presented by Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, and Lorenzo Cavallaro from prestigious institutions including King's College London, University of Cambridge, ICSI, Royal Holloway, University of London, and University College London. Learn about the challenges posed by concept drift in malware detection systems and discover innovative approaches to transcend traditional classification methods. Gain insights into the latest advancements in adaptive machine learning techniques for cybersecurity applications. This 18-minute IEEE presentation offers a comprehensive overview of the researchers' findings and their implications for improving the resilience of malware classification systems in the face of evolving threats.
Transcending TRANSCEND - Revisiting Malware Classification in the Presence of Concept Drift
Overview
Syllabus
Transcending TRANSCEND: Revisiting Malware Classification in the Presence of Concept Drift
Taught by
IEEE Symposium on Security and Privacy
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