Malware classification using word embeddings algorithms and long‐short term memory networks
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DOI: 10.1111/coin.12543
Abstract: The number of malicious software applications, or malware programs, increases every year. Their development becomes more sophisticated as new techniques are used to bypass program scanning software applications, such as antiviruses. Thereby, deep learning‐based methods… read more here.
Keywords: malware classification; classification; software applications; long short ... See more keywords