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New 'Better Call Graphs' Dataset Enhances Android Malware Classification

Researchers have introduced "Better Call Graphs" (BCG), a new dataset designed to improve malware classification for Android applications. Existing datasets are often outdated or contain redundant samples, hindering the development of effective graph-based detection methods. BCG provides a large collection of unique function call graphs from recent Android application packages, including both benign and malicious samples, to address these limitations. Experiments show BCG's superiority over existing datasets for evaluating classification models. AI

IMPACT This dataset could improve the accuracy and reliability of AI-powered malware detection systems for Android.

RANK_REASON The cluster contains a research paper introducing a new dataset for a specific technical task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New 'Better Call Graphs' Dataset Enhances Android Malware Classification

COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Jakir Hossain, Jue Guo, Gurvinder Singh, Lukasz Ziarek, Ahmet Erdem Sar{\i}y\"uce ·

    Better Call Graphs: A New Dataset of Function Call Graphs for Malware Classification

    arXiv:2512.20872v2 Announce Type: replace-cross 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 ha…