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 comprehensive survey on deep learning based malware detection techniques

M Gopinath, SC Sethuraman - Computer Science Review, 2023 - Elsevier
Recent theoretical and practical studies have revealed that malware is one of the most
harmful threats to the digital world. Malware mitigation techniques have evolved over the …

Ransomware: Recent advances, analysis, challenges and future research directions

C Beaman, A Barkworth, TD Akande, S Hakak… - Computers & …, 2021 - Elsevier
The COVID-19 pandemic has witnessed a huge surge in the number of ransomware attacks.
Different institutions such as healthcare, financial, and government have been targeted …

Ransomware mitigation in the modern era: A comprehensive review, research challenges, and future directions

T McIntosh, ASM Kayes, YPP Chen, A Ng… - ACM Computing …, 2021 - dl.acm.org
Although ransomware has been around since the early days of personal computers, its
sophistication and aggression have increased substantially over the years. Ransomware, as …

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 …

The age of ransomware: A survey on the evolution, taxonomy, and research directions

S Razaulla, C Fachkha, C Markarian… - IEEE …, 2023 - ieeexplore.ieee.org
The proliferation of ransomware has become a significant threat to cybersecurity in recent
years, causing significant financial, reputational, and operational damage to individuals and …

Ransomware classification and detection with machine learning algorithms

M Masum, MJH Faruk, H Shahriar… - 2022 IEEE 12th …, 2022 - ieeexplore.ieee.org
Malicious attacks, malware, and ransomware families pose critical security issues to
cybersecurity, and it may cause catastrophic damages to computer systems, data centers …

Fusion of deep learning based cyberattack detection and classification model for intelligent systems

OA Alzubi, I Qiqieh, JA Alzubi - Cluster Computing, 2023 - Springer
In recent years, the exponential growth of malware has posed a significant security threat to
intelligent systems. Earlier static and dynamic analysis methods fail to achieve effective …

Ransomware detection using deep learning based unsupervised feature extraction and a cost sensitive Pareto Ensemble classifier

U Zahoora, A Khan, M Rajarajan, SH Khan, M Asam… - Scientific reports, 2022 - nature.com
Ransomware attacks pose a serious threat to Internet resources due to their far-reaching
effects. It's Zero-day variants are even more hazardous, as less is known about them. In this …

Artificial intelligence-based malware detection, analysis, and mitigation

A Djenna, A Bouridane, S Rubab, IM Marou - Symmetry, 2023 - mdpi.com
Malware, a lethal weapon of cyber attackers, is becoming increasingly sophisticated, with
rapid deployment and self-propagation. In addition, modern malware is one of the most …