Results 181 to 190 of about 2,335 (206)
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HelDroid: Dissecting and Detecting Mobile Ransomware
2015In ransomware attacks, the actual target is the human, as opposed to the classic attacks that abuse the infected devices e.g., botnet renting, information stealing. Mobile devices are by no means immune to ransomware attacks. However, there is little research work on this matter and only traditional protections are available.
Andronio, NicoloĢ +2 more
openaire +2 more sources
Ransomware Detection, Avoidance, and Mitigation Scheme: A Review and Future Directions
Sustainability, 2022Ankur Gupta, Rajesh Gupta
exaly
RansomCare: Data-centric detection and mitigation against smartphone crypto-ransomware
Computer Networks, 2021Farnood Faghihi, Mohammad Zulkernine
exaly
Ransomware detection using machine learning algorithms
Concurrency Computation Practice and Experience, 2020Eul Gyu Im
exaly
ARdetector: android ransomware detection framework
The Journal of Supercomputing, 2023Dan Li 0028 +4 more
openaire +1 more source
A Study on the Evolution of Ransomware Detection Using Machine Learning and Deep Learning Techniques
IoT, 2020Damien Warren Fernando +2 more
exaly
Analysis of Decoy Strategies for Detecting Ransomware
2023 IEEE Conference on Communications and Network Security (CNS), 2023Byron Denham, Dale R. Thompson
openaire +1 more source
R-Sentry: Deception based ransomware detection using file access patterns
Computers and Electrical Engineering, 2022Sridhar Venkatesan, Shina Sheen
exaly