Differential area analysis for ransomware attack detection within mixed file datasets

RAPTOR: Ransomware Attack PredicTOR

Ransomware, a type of malicious software that encrypts a victim’s files and only releases the cryptographic key once a ransom is paid, has emerged as a potentially devastating class of cybercrimes in the past few years. In this paper, we present RAPTOR, a promising line of defense against ransomware attacks. RAPTOR fingerprints attackers’ operations to forecast ransomware activity. More specifi...

The Anatomy of a Ransomware Attack

Extinguishing Ransomware - A Hybrid Approach to Android Ransomware Detection

Mobile ransomware is on the rise and effective defense from it is of utmost importance to guarantee security of mobile users’ data. Current solutions provided by antimalware vendors are signature-based and thus ineffective in removing ransomware and restoring the infected devices and files. Also, current state-of-the art literature offers very few solutions to effectively detecting and blocking...

Economic Analysis of Ransomware

We present in this work an economic analysis of ransomware, with relevant data from Cryptolocker, CryptoWall, TeslaCrypt and other major strands. We include a detailed study of the impact that different price discrimination strategies can have on the success of a ransomware family, examining uniform pricing, optimal price discrimination and bargaining strategies and analysing their advantages a...

Preventing Ransomware Attacks Through File System Filter Drivers

Over the last years ransomware attacks have been widely spreading over the Internet, indiscriminately targeting home users as well as corporates and public agencies. Several approaches have been proposed to analyze and detect ransomware intrusions in literature, moving from combined heuristics, behavior analysis, sandboxbased solutions and machine learning techniques to function calls monitorin...