June 7, 2022, 1:20 a.m. | Nanda Rani, Sunita Vikrant Dhavale

cs.CR updates on arXiv.org arxiv.org

The current pandemic situation has increased cyber-attacks drastically
worldwide. The attackers are using malware like trojans, spyware, rootkits,
worms, ransomware heavily. Ransomware is the most notorious malware, yet we did
not have any defensive mechanism to prevent or detect a zero-day attack. Most
defensive products in the industry rely on either signature-based mechanisms or
traffic-based anomalies detection. Therefore, researchers are adopting machine
learning and deep learning to develop a behaviour-based mechanism for detecting
malware. Though we have some hybrid mechanisms …

detection machine machine learning ransomware ransomware detection

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