Posté par: igor51 le mars 14, 2019, 05:00:04
When malware is difficult to discover — and has limited samples for analysis — we propose a machine learning model that uses adversarial autoencoder and semantic hashing to find what bad actors try to hide. We, along with researchers from the Federation University Australia, discussed this model in our study titled “Generative Malware Outbreak Detection.”
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Source: A Machine Learning Model to Detect Malware Variants (http://feeds.trendmicro.com/~r/Anti-MalwareBlog/~3/mXkpmvz5glo/)