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AI-Based Ransomware Detection: A Comprehensive Review
IEEE AccessRansomware attacks are becoming increasingly sophisticated, thereby rendering conventional detection methods less effective. Recognizing this challenge, this study reviews advanced detection mechanisms and explores the potential of artificial ...
Jannatul Ferdous +3 more
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An intelligent ransomware based cyberthreat detection model using multi head attention-based recurrent neural networks with optimization algorithm in IoT environment [PDF]
Scientific ReportsThe rapid growth of the Internet of Things (IoT) and its extensive use in many regions, such as smart homes, healthcare, and vehicles, have made IoT security increasingly critical.
Sarah A. Alzakari +7 more
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IEEE Access, 2019 Ransomware is a type of advanced malware that has spread rapidly in recent years, causing significant financial losses for a wide range of victims, including organizations, healthcare facilities, and individuals.
Ahmad O. Almashhadani +3 more
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Enhancing ransomware defense: deep learning-based detection and family-wise classification of evolving threats [PDF]
PeerJ Computer ScienceRansomware is a type of malware that locks access to or encrypts its victim’s files for a ransom to be paid to get back locked or encrypted data. With the invention of obfuscation techniques, it became difficult to detect its new variants.
Amjad Hussain +4 more
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Ransomware Early Detection Method Based on Deep Learning [PDF]
Jisuanji kexue, 2023 In recent years,ransomware is becoming increasingly prevalent,causing serious economic losses.Since files encrypted by ransomware are difficult to recover,how to timely and accurately detect ransomware is a hot point nowadays.To improve the timeliness ...
LIU Wenjing, GUO Chun, SHEN Guowei, XIE Bo, LYU Xiaodan
doaj +1 more source
Applied Sciences, 2021 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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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
Ransomware Detection and Classification Strategies
2022 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), 2022 9 pages, 2 ...
Aldin Vehabovic +4 more
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Adaptive secure malware efficient machine learning algorithm for healthcare data
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed +8 more
wiley +1 more source