The ransomware threat has loomed over our digital life since 1989. Criminals use this type of cyber attack to lock or encrypt victims' data, often coercing them to pay exorbitant amounts …
This paper proposes FeSAD, a framework that will allow a machine learning classifier to detect evolutionary ransomware. Ransomware is a critical player in the malware space that …
Abstract The Internet of Things (IoT), a network of interconnected devices, has grown and gained traction over the last few years. This paradigm can impact our lives while also …
Ransomware has emerged as a serious and evolving cybersecurity threat. This research paper examines the advancements and improvements observed in ransomware attacks, as …
Z Song, Y Tian, J Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, there has been an increasingly prevalent trend of ransomware attacks, with malicious organizations employing various techniques to gain system privileges and …
W Zanoramy, MF Abdollah, O Abdollah… - Journal of Advanced …, 2024 - semarakilmu.com.my
The escalating ransomware threat has catalysed the formation of a sophisticated network of cybercriminal enterprises. Addressing this issue, our research provides a detailed …
Ransomware is a critical security concern, and developing applications for ransomware detection is paramount. Machine learning models are helpful in detecting and classifying …
System-to-system communication via Application Programming Interfaces (APIs) plays a pivotal role in the seamless interaction among software applications and systems for efficient …
A Charmilisri, I Harshi… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Malware is typically found only after the victim gets a ransom demand. Ransomware detection systems detect the threat more quickly, allowing victims to take action before …