Ransomware reloaded: Re-examining its trend, research and mitigation in the era of data exfiltration

T McIntosh, T Susnjak, T Liu, D Xu, P Watters… - ACM Computing …, 2024 - dl.acm.org
Ransomware has grown to be a dominant cybersecurity threat by exfiltrating, encrypting, or
destroying valuable user data and causing numerous disruptions to victims. The severity of …

A State-of-the-Art Review of Malware Attack Trends and Defense Mechanism.

J Ferdous, R Islam, A Mahboubi, MZ Islam - IEEE Access, 2023 - ieeexplore.ieee.org
The increasing sophistication of malware threats has led to growing concerns in the anti-
malware community, as malware poses a significant danger to online users despite the …

E2E-RDS: Efficient End-to-End ransomware detection system based on Static-Based ML and Vision-Based DL approaches

I Almomani, A Alkhayer, W El-Shafai - Sensors, 2023 - mdpi.com
Nowadays, ransomware is considered one of the most critical cyber-malware categories. In
recent years various malware detection and classification approaches have been proposed …

AI-based ransomware detection: A comprehensive review

J Ferdous, R Islam, A Mahboubi, MZ Islam - IEEE Access, 2024 - ieeexplore.ieee.org
Ransomware attacks are becoming increasingly sophisticated, thereby rendering
conventional detection methods less effective. Recognizing this challenge, this study …

Enhancing Cloud Computing Analysis: A CCE-Based HTTP-GET Log Dataset

ZR Alashhab, M Anbar, SDA Rihan, BA Alabsi… - Applied Sciences, 2023 - mdpi.com
The Hypertext Transfer Protocol (HTTP) is a common target of distributed denial-of-service
(DDoS) attacks in today's cloud computing environment (CCE). However, most existing …

Machine learning aided malware detection for secure and smart manufacturing: a comprehensive analysis of the state of the art

S Rani, K Tripathi, A Kumar - International Journal on Interactive Design …, 2023 - Springer
In the last decade, the number of computer malware has grown rapidly. Currently,
cybercriminals typically use malicious software (malware) as a means of attacking industrial …

An intelligent ransomware attack detection and classification using dual vision transformer with Mantis Search Split Attention Network

K Ashwini, KB Nagasundara - Computers and Electrical Engineering, 2024 - Elsevier
Ransomware attacks pose significant cybersecurity threats, compromising computer
systems, data centers and various applications across sectors. Their sophistication …

[PDF][PDF] Comparative analysis of machine learning models for PDF malware detection: Evaluating different training and testing criteria

B Khan, M Arshad, SS Khan - Journal of Cybersecurity, 2023 - researchgate.net
The proliferation of maliciously coded documents as file transfers increase has led to a rise
in sophisticated attacks. Portable Document Format (PDF) files have emerged as a major …

Ransomware Attack Detection in the Internet of Things using Machine Learning Approaches

A Sharma, H Babbar, AK Vats - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Ransomware is a well-known virus variant that has become increasingly prevalent because
of the severe and long-lasting damage it causes to its users. Because ransomware causes …

Blockchain-Based Data Breach Detection: Approaches, Challenges, and Future Directions

K Ansar, M Ahmed, M Helfert, J Kim - Mathematics, 2023 - mdpi.com
In cybersecurity, personal data breaches have become one of the significant issues. This
fact indicates that data breaches require unique detection systems, techniques, and …