[HTML][HTML] Ransomware detection using the dynamic analysis and machine learning: A survey and research directions

U Urooj, BAS Al-rimy, A Zainal, FA Ghaleb… - Applied Sciences, 2021 - mdpi.com
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 …

BigRC-EML: big-data based ransomware classification using ensemble machine learning

S Aurangzeb, H Anwar, MA Naeem, M Aleem - Cluster Computing, 2022 - Springer
Ransomware is a subcategory of malware whose specific goal is to hold the victim's data by
using encryption techniques until a ransom is paid. With mainstream usage of the Windows …

Rtrap: Trapping and containing ransomware with machine learning

GO Ganfure, CF Wu, YH Chang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With advances in social engineering tricks and other technical shortcomings, ransomware
attacks have become a severe cybercrime affecting organizations of all shapes and sizes …

Malware Detection with Artificial Intelligence: A Systematic Literature Review

MG Gaber, M Ahmed, H Janicke - ACM Computing Surveys, 2024 - dl.acm.org
In this survey, we review the key developments in the field of malware detection using AI and
analyze core challenges. We systematically survey state-of-the-art methods across five …

Deepware: Imaging performance counters with deep learning to detect ransomware

GO Ganfure, CF Wu, YH Chang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In the year passed, rarely a month passes without a ransomware incident being published in
a newspaper or social media. In addition to the rise in the frequency of ransomware attacks …

Rthreatdroid: A ransomware detection approach to secure iot based healthcare systems

MJ Iqbal, S Aurangzeb, M Aleem… - … on Network Science …, 2022 - ieeexplore.ieee.org
The use of smartphone devices in healthcare has increased manifold due to their
widespread use and ease of integration with Internet of Things (IoT) based medical devices …

Detection of Ransomware Attacks using Processor and Disk Usage Data

K Thummapudi, P Lama, RV Boppana - IEEE Access, 2023 - ieeexplore.ieee.org
Ransomware often evades antivirus tools, encrypts files, and renders the target computer
and its data unusable. The current approaches to detect such ransomware include …

[HTML][HTML] Crypto-Ransomware: A Revision of the State of the Art, Advances and Challenges

JA Gómez Hernández, P García Teodoro… - Electronics, 2023 - mdpi.com
According to the premise that the first step to try to solve a problem is to deepen our
knowledge of it as much as possible, this work is mainly aimed at diving into and …

[HTML][HTML] Cybersecurity for autonomous vehicles against malware attacks in smart-cities

S Aurangzeb, M Aleem, MT Khan, H Anwar… - Cluster …, 2024 - Springer
Abstract Smart Autonomous Vehicles (AVSs) are networks of Cyber-Physical Systems
(CPSs) in which they wirelessly communicate with other CPSs sub-systems (eg, smart …

[HTML][HTML] AndroDex: Android Dex images of obfuscated malware

S Aurangzeb, M Aleem, MT Khan, G Loukas… - Scientific Data, 2024 - nature.com
With the emergence of technology and the usage of a large number of smart devices, cyber
threats are increasing. Therefore, research studies have shifted their attention to detecting …