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A Survey of Recent Advances in Deep Learning Models for Detecting Malware in Desktop and Mobile Platforms. (arXiv:2209.03622v1 [cs.CR])
Sept. 9, 2022, 1:20 a.m. | Pascal Maniriho, Abdun Naser Mahmood, Mohammad Jabed Morshed Chowdhury
cs.CR updates on arXiv.org arxiv.org
Malware is one of the most common and severe cyber-attack today. Malware
infects millions of devices and can perform several malicious activities
including mining sensitive data, encrypting data, crippling system performance,
and many more. Hence, malware detection is crucial to protect our computers and
mobile devices from malware attacks. Deep learning (DL) is one of the emerging
and promising technologies for detecting malware. The recent high production of
malware variants against desktop and mobile platforms makes DL algorithms
powerful approaches …
More from arxiv.org / cs.CR updates on arXiv.org
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