Ransomware Defense Empowered: Deep Learning for Real-Time Family Identification with a Proprietary Dataset
Author:
Affiliation:
1. School of Cyber Science and Engineering, Wuhan University,China
2. College of Computer and Information Science, Prince Sultan University,Riyadh
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10600640/10600641/10600651.pdf?arnumber=10600651
Reference22 articles.
1. Ransomware: Recent advances, analysis, challenges and future research directions
2. A Survey on Ransomware: Evolution, Taxonomy, and Defense Solutions
3. Detecting Android Locker-Ransomware on Chinese Social Networks
4. The rise of crypto-ransomware in a changing cybercrime landscape: Taxonomising countermeasures
5. Securing the Industrial Internet of Things against ransomware attacks: A comprehensive analysis of the emerging threat landscape and detection mechanisms
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