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A Benchmark Comparison of Python Malware Detection Approaches. (arXiv:2209.13288v1 [cs.CR])
Sept. 28, 2022, 1:20 a.m. | Duc-Ly Vu, Zachary Newman, John Speed Meyers
cs.CR updates on arXiv.org arxiv.org
While attackers often distribute malware to victims via open-source,
community-driven package repositories, these repositories do not currently run
automated malware detection systems. In this work, we explore the security
goals of the repository administrators and the requirements for deployments of
such malware scanners via a case study of the Python ecosystem and PyPI
repository, which includes interviews with administrators and maintainers.
Further, we evaluate existing malware detection techniques for deployment in
this setting by creating a benchmark dataset and comparing …
More from arxiv.org / cs.CR updates on arXiv.org
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