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Ransomware Detection Using Machine Learning: A Survey
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, Amjad Alraizza
exaly +3 more sources
Analysis of Crypto-Ransomware Using ML-Based Multi-Level Profiling
Crypto-ransomware is the most prevalent form of modern malware, has affected various industries, demanding a significant amount of ransom. Mainly, small businesses, healthcare, education, and government sectors have been under continuous attacks by these
Subash Poudyal, Dipankar Dasgupta
doaj +2 more sources
Hybrid-Based Analysis Impact on Ransomware Detection for Android Systems
Android ransomware is one of the most threatening attacks that is increasing at an alarming rate. Ransomware attacks usually target Android users by either locking their devices or encrypting their data files and then requesting them to pay money to ...
Rana Almohaini +2 more
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Ransomware on Cyber-Physical Systems: Taxonomies, Case Studies, Security Gaps, and Open Challenges
Ransomware 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]
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
Ransomware is one of the most harmful types of cyber attacks that cause major concerns on a global scale. It makes the victims’ resources unusable by encrypting data or locking systems to extort ransom payments.
Fatimah Aldauiji +2 more
doaj +1 more source
Ransomware is an ill-famed malware that has received recognition because of its lethal and irrevocable effects on its victims. The irreparable loss caused due to ransomware requires the timely detection of these attacks. Several studies including surveys
Umara Urooj +4 more
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Ransomware detection based on machine learning models and Event Tracing for Windows
Nowadays ransomware cyberattacks are alarmingly increasing. Ransomware is a form of malicious software that locks users’ files by modifying it or it’s parts. To get the files back the users are supposed to pay ransom. Ransomware are using different types
Artem O. Kalinkin +3 more
doaj +1 more source
Ransomware Detection Method Based on Dynamic Symbol Execution [PDF]
Aiming at the problem of network security caused by ransomware,based on the analysis of a large number of ransomware samples,a method of detecting and analyzing ransomware based on dynamic symbol execution is proposed.A ADRAS system model is built based ...
CHEN Zheng,FANG Yong,LIU Liang,ZUO Zheng
doaj +1 more source
A Comparative Assessment of Obfuscated Ransomware Detection Methods [PDF]
Ransomware represents a class of malicious applications that encrypts the files of infected system and demands from victims a payment in cryptocurrency in order to receive the decryption key.
Sergiu SECHEL
doaj +1 more source

