Ransomware is one of the rising malwares in the crimeware family. It encrypts the user files and demands extortion money. From the perspective of an enterprise it is very crucial to detect and stop a ransomware attack. A well studied technique is to monitor file system behavior for suspicious activity. In this work we will show the gap in the existing state of art and describe a dynamic system which learns new behavior while under attack.

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Each online interaction with an external service creates data about the user that is digitally recorded and stored. These external services may be credit card transactions, medical consultations, census data collection, voter registration, etc. Although the data is ostensibly collected to provide citizens with better services, the privacy of the individual is inevitably put at risk. With the growing reach of the Internet and the volume of data being generated, data protection and, specifically, preserving the privacy of individuals, have become particularly important. In this article we discuss the data privacy concepts using two fictitious characters, Swara and Betaal, and their interactions with a fictitious entity, namely Asha Hospital.