{"url":"/dataset/apt-malware","name":"APT-Malware","full_name":null,"description_markdown":"The APT Malware dataset is used to train classifiers to predict if a given malware belongs to the “Advanced Persistent Threat” (APT) type or not. It contains 3131 samples spread over 24 different unique malware classes.\n\nSource: [https://arxiv.org/pdf/1810.07321.pdf](https://arxiv.org/pdf/1810.07321.pdf)","description_withheld":null,"homepage":"https://github.com/GiuseppeLaurenza/I_F_Identifier","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/malware-triage-for-early-identification-of","title":"Malware triage for early identification of Advanced Persistent Threat activities","first_author":"Giuseppe Laurenza","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["APT-Malware"],"data_loaders":[{"repo":"https://github.com/GiuseppeLaurenza/I_F_Identifier","url":"https://github.com/GiuseppeLaurenza/I_F_Identifier","frameworks":[]}],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}