Automating Malware Detection By Inferring Intent [2024-2026]

To prepare a high-quality paper on "Automating Malware Detection by Inferring Intent," you should focus on the fundamental challenge that malware author intent (e.g., stealing data, self-propagation) is often distinct from the benign user-driven intent of legitimate software. Modern research in 2026 emphasizes detecting "agentic" and autonomous malware that adapts its tactics mid-attack. Paper Structure & Key Components Automating Malware Detection by Inferring Intent - EECS