Better Call Graphs: A New Dataset of Function Call Graphs for Malware Classification
New public dataset of function call graphs aims to standardise benchmarking for graph-based malware classifiers, addressing a reproducibility gap in detection research.
Summary written by editorial AI · Source link below
arXiv:2512.20872v2 Announce Type: replace Abstract: Function call graphs (FCGs) have emerged as a powerful abstraction for malware detection, capturing the behavioral structure of applications beyond surface-level signatures. Their utility in traditional program analysis has been well established, enabling effective classification and analysis of malicious software. In the mobile domain, especially in the Android ecosystem, FCG-based malware classification is particularly critical due to the pl
Editorial Analysis
Better benchmarking datasets help SOC-tooling vendors and in-house teams validate detection models before production deployment, reducing false-positive burden.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
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