Combing through the fuzz: Using fuzzy hashing and deep learning to counter malware detection evasion techniques
A new approach for malware classification combines deep learning with fuzzy hashing. Fuzzy hashes identify similarities among malicious files and a deep learning methodology inspired by natural language processing (NLP) better identifies similarities that actually matter, improving detection quality and scale of deployment.
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