Ransomware detection using machine learning: A review, research limitations and future directions

J Ispahany, MDR Islam, MZ Islam, MA Khan - IEEE Access, 2024 - ieeexplore.ieee.org
Ransomware attacks are on the rise in terms of both frequency and impact. The shift to
remote work due to the COVID-19 pandemic has led more people to work online, prompting …

[HTML][HTML] Digital forensic of Maze ransomware: A case of electricity distributor enterprise in ASEAN

K Chimmanee, S Jantavongso - Expert Systems with Applications, 2024 - Elsevier
Due to the Coronavirus pandemic (COVID-19) throughout 2020–22, remote working has
played an important part in organizations, businesses, and agencies worldwide. This …

Lightweight Crypto-Ransomware Detection in Android Based on Reactive Honeyfile Monitoring

JA Gómez-Hernández, P García-Teodoro - Sensors, 2024 - mdpi.com
Given the high relevance and impact of ransomware in companies, organizations, and
individuals around the world, coupled with the widespread adoption of mobile and IoT …

How to Circumvent and Beat the Ransomware in Android Operating System—A Case Study of Locker. CB! tr

K Drabent, R Janowski, J Mongay Batalla - Electronics, 2024 - mdpi.com
Ransomware is one of the most extended cyberattacks. It consists of encrypting a user's files
or locking the smartphone in order to blackmail a victim. The attacking software is ordered …

Cryptocurrency Crime Risks Modeling: Environment, E-Commerce, and Cybersecurity Issue

O Kovalchuk, R Shevchuk, S Banakh - IEEE Access, 2024 - ieeexplore.ieee.org
Digital trends like blockchain have led to cryptocurrency payments becoming popular in e-
commerce. While cryptocurrencies have benefited users, they have also attracted criminals …

Examining windows file system irp operations with machine learning for ransomware detection

B Xu, S Wang - 2024 - researchsquare.com
This study introduces an innovative approach to ransomware detection on Windows
operating systems by leveraging Generative Adversarial Networks (GANs) to analyze file …

[PDF][PDF] Ransomware Detection Using Machine Learning: A Review, Research Limitations and Future Directions

MDZ ISLAM - 2024 - researchoutput.csu.edu.au
Ransomware attacks are on the rise in terms of both frequency and impact. The shift to
remote work due to the COVID-19 pandemic has led more people to work online, prompting …

MIRAD: A Method for Interpretable Ransomware Attack Detection

B Marcinkowski, M Goschorska, N Wileńska, J Siuta… - 2024 - researchsquare.com
In the face of escalating crypto-ransomware attacks, which encrypt user data for ransom, our
study introduces a significant advancement in dynamic ransomware detection. We develop …