Ransomware Classification and Detection With Machine Learning Algorithms. (arXiv:2207.00894v1 [cs.CR])

Malicious attacks, malware, and ransomware families pose critical security
issues to cybersecurity, and it may cause catastrophic damages to computer
systems, data centers, web, and mobile applications across various industries
and businesses. Traditional anti-ransomware systems struggle to fight against
newly created sophisticated attacks. Therefore, state-of-the-art techniques
like traditional and neural network-based architectures can be immensely
utilized in the development of innovative ransomware solutions. In this paper,
we present a feature selection-based framework with adopting different machine
learning algorithms including neural …

algorithms classification detection machine machine learning machine learning algorithms ransomware