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Ransomware is a malware that stealthily gets installed in your device and holds your files or operating system functions for ransom. It restricts you from using your PC or mobile device, by encrypting your files. Paying ransom (through Bitcoins) however, does not guarantee that you'll get your files back. Prevention is still way better than allowing yourself to be infected and then trying to find a cure. This paper aims at developing a self-learning algorithm using Machine Learning Techniques to detect Ransomware at various stages be it the Initial level, Network level or the Encryption Phase. Our approach (similar to SARVAM-semi-supervised) will be to have pro-active defence or detect early Intrusion.
Chadha et al. (Mon,) studied this question.
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