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Ransomware Detection Using Machine Learning: A Survey
Big Data and Cognitive Computing, 2023 Ransomware attacks pose significant security threats to personal and corporate data and information. The owners of computer-based resources suffer from verification and privacy violations, monetary losses, and reputational damage due to successful ...
Abdulmohsen Algarni +2 more
exaly +3 more sources
IET Networks, 2018 Cybercrime has long since transformed from a world of Maverick attackers to a criminal business. Ransomware is a malware that renders a victim's computer or data unusable and is increasingly being used by criminals to generate revenue through extortion ...
Philip O'Kane +2 more
doaj +3 more sources
A Machine Learning-Based Ransomware Detection Method for Attackers’ Neutralization Techniques Using Format-Preserving Encryption [PDF]
SensorsRansomware, a type of malware that first appeared in 1989, encrypts user files and demands money for decryption, causing increasing global damage. To reduce the impact of ransomware, various file-based detection technologies are being developed; however,
Jaehyuk Lee +3 more
doaj +2 more sources
Ransomware on cyber-physical systems: Taxonomies, case studies, security gaps, and open challenges
Internet of Things and Cyber-physical SystemsRansomware attacks have emerged as one of the most significant cyberthreats faced by organizations worldwide. In recent years, ransomware has also started to target critical infrastructure and Cyber-Physical Systems (CPS) such as industrial control ...
Mourad Benmalek
exaly +3 more sources
On the classification of Microsoft-Windows ransomware using hardware profile [PDF]
PeerJ Computer Science, 2021 Due to the expeditious inclination of online services usage, the incidents of ransomware proliferation being reported are on the rise. Ransomware is a more hazardous threat than other malware as the victim of ransomware cannot regain access to the ...
Sana Aurangzeb +4 more
doaj +2 more sources
KRDroid: Ransomware-Oriented Detector for Mobile Devices Based on Behaviors
Applied Sciences, 2021 Ransomware has become a serious threat on Android and new cases of ransomware are continuously growing. Most existing ransomware detectors use sensitive text or APIs to detect ransomware.
Senmiao Wang +6 more
doaj +1 more source
Ransomware and Reputation [PDF]
Games, 2019 Ransomware is a particular form of cyber-attack in which a victim loses access to either his electronic device or files unless he pays a ransom to criminals. A criminal’s ability to make money from ransomware critically depends on victims believing that the criminal will honour ransom payments.
Anna Cartwright 0001 +1 more
openaire +3 more sources
Detection of Ransomware Attacks Using Processor and Disk Usage Data
IEEE Access, 2023 Ransomware often evades antivirus tools, encrypts files, and renders the target computer and its data unusable. The current approaches to detect such ransomware include monitoring processes, system calls, and file activities on the target system and ...
Kumar Thummapudi +2 more
doaj +1 more source
The Effect of the Ransomware Dataset Age on the Detection Accuracy of Machine Learning Models
Information, 2023 Several supervised machine learning models have been proposed and used to detect Android ransomware. These models were trained using different datasets from different sources.
Qussai M. Yaseen
doaj +1 more source
Delikt en Delinkwent, 2020 This thesis researches different ransomwares, how we can stop them and how their threat vectors work. It is important to notice that when solving one ransomware doesn’t solve the next incoming one. In this thesis we investigate six different ransomwares that spread between 2016-2019.
Usman Javed Butt, Arvind Kumar
+7 more sources