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InformationCybersecurity is normally defined as protecting systems against all kinds of cyberattacks; however, due to the rapid and permanent expansion of technology and digital transformation, the threats are also increasing. One of those new threats is ransomware,
Latifa Albshaier +2 more
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Visualizing Portable Executable Headers for Ransomware Detection: A Deep Learning-Based Approach [PDF]
Journal of Universal Computer ScienceIn recent years, the rapid evolution of ransomware has led to the development of numerous techniques designed to evade traditional malware detection methods.
Tien Quang Dam +5 more
doaj +3 more sources
Improving Antivirus Signature For Detection Ransomware Attacks With Machine Learning
, 2021 Cybercrime activities are difficult separate from the development of malware. In Internet Security Threat Report, crime by exploiting malware becomes the ultimate crime. One of the highest spreading malwares is ransomware.
Bastian, Alvian
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Comprehensive performance benchmarking and comparative analysis of active ransomware threats
Ransomware remains one of the most pervasive and disruptive cyber threats, with modern variants employing advanced techniques such as high-speed multithreaded encryption, obfuscation, and intermittent encryption to reduce detection opportunities and ...
Davies, Simon R., Macfarlane, Richard
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A Review on Ransomware Detection Systems
, 2023 Ransomware is one of the most spreading and dangerous kinds of computer malware these days. Researchers have followed various approaches. But the differences and comparison of existing works are not properly documented yet.
Chamupathi Gigara Hettige (16020542) +1 more
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A Deep Learning Framework for Enhanced Detection of Polymorphic Ransomware
Future InternetRansomware, a significant cybersecurity threat, encrypts files and causes substantial damage, making early detection crucial yet challenging. This paper introduces a novel multi-phase framework for early ransomware detection, designed to enhance accuracy
Mazen Gazzan +3 more
doaj +1 more source
Contributions to Crypto-Ransomware Analysis and Detection [PDF]
Ransomware poses a severe and evolving threat to cyber security, demanding continuous advancements in analysis and detection techniques. This thesis successfully tackles several critical research gaps in this domain, offering essential resources and ...
Davies, Simon
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ProtectNIC - SmartNIC Ransomware Detection [PDF]
Ransomware, a form of malware that restricts access to data until a ransom is paid, accounts for 20% of all cyber crimes. Although companies and organizations often require their personnel to take training for awareness of such bad actors, social ...
Xu, Anson, Choudhury, Arnav, Liu, Eason
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SensorsEarly detection of ransomware attacks is critical for minimizing the potential damage caused by these malicious attacks. Feature selection plays a significant role in the development of an efficient and accurate ransomware early detection model.
Abdullah Alqahtani, Frederick T. Sheldon
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Android Ransomware Detection Using Supervised Machine Learning Techniques Based on Traffic Analysis. [PDF]
Sensors (Basel), 2023 Albin Ahmed A +5 more
europepmc +1 more source