Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

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Intelligence Driven Malware Analysis (IDMA) Malicious Profiling

  • Abstract

    The intelligence driven malware analysis (IDMA) methodology sought to fuse products of malware analysis and threat intelligence. Industry trends focus on indicators that are less actionable and centered on properties of the malware itself. This FloCon 2016 presentation suggests that the behavioral markers of malware can be used as a focal point for malware analysis that can augment and enhance threat intelligence and information-sharing initiatives.

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FloCon 2016 Presentations