遇见数据集

Malware Training Sets

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DataCite Commons2020-07-30 更新2025-04-09 收录
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One of the most challenging tasks during Machine Learning processing is to define a great training (and possible dynamic) dataset. Assuming a well known learning algorithm and a periodic learning supervised process what you need is a classified dataset to best train your machine. Thousands of training datasets are available out there, but no great classified datasets for malware analyses exist. This dataset was created to share with the scientific community (and everybody interested on it) in order to give to everyone a base point to start with Machine Learning for Malware Analysis. The collected dataset is composed by the following samples: APT1 292 Samples Crypto 2024 Samples Locker 434 Samples Zeus 2014 Samples

提供机构:
IMPACT
创建时间:
2019-09-10
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