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Timed Automata for Mobile Ransomware Detection.

Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2020
Considering the plethora of private and sensitive information stored in smartphone and tablets, it is easy to understand the reason why attackers develop everyday more and more aggressive malicious payloads with the aim to exfiltrate our data. One of the last trend in mobile malware landascape is represented by the so-called ransomware, a threat ...
Martinelli F., Mercaldo F., Santone A.
openaire   +2 more sources

RANSOMWARE BEHAVIOUR AND DETECTION

Ransomware Behaviour and Detection by Victor Ebri.. This is my Final Year Project. Gratitude to my beloved Project Supervisor, Professor Owolabi Olumide and to the Almighty God. This project examines how ransomware behaves, including how it infiltrates systems, encrypts files, and demands payment.
openaire   +1 more source

Ransomware Detection Using the Dynamic Analysis and Machine Learning: A Survey and Research Directions

Applied Sciences (Switzerland), 2022
Fuad A Ghaleb   +2 more
exaly  

Detecting ransomware

2022
MEHTA KUNAL   +4 more
openaire   +5 more sources

Detection and Decryption of Ransomware

2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2023
MS. M. Jayanthi   +3 more
openaire   +1 more source

DETECTION OF RANSOMWARE

2021
DEVANE OLIVER G   +2 more
openaire   +2 more sources

Ransomware Mitigation in the Modern Era: A Comprehensive Review, Research Challenges, and Future Directions

ACM Computing Surveys, 2022
Paul A Watters   +2 more
exaly  

Coordinating service ransomware detection with client-side ransomware detection

2021
CHELARESCU FILIP   +6 more
openaire   +1 more source

Ransomware Detection Using Machine Learning Algorithms

Concurrency Computation Practice and Experience, 2020
Eul Gyu Im, Seong Il Bae
exaly  

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