A survey on ransomware: Evolution, taxonomy, and defense solutions

H Oz, A Aris, A Levi, AS Uluagac - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
In recent years, ransomware has been one of the most notorious malware targeting end-
users, governments, and business organizations. It has become a very profitable business …

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 …

Unveiling hidden patterns: A computational analysis of less commonly labeled ransomware families

Y Zhang, Z Huang - Authorea Preprints, 2024 - techrxiv.org
Ransomware has become a pervasive threat in the cybersecurity landscape, causing
significant financial and operational damage across various sectors. Despite substantial …

Ransomware detection using aggregated random forest technique with recent variants

J Rafapa, A Konokix - 2024 - authorea.com
The increasing sophistication and frequency of ransomware attacks have posed significant
challenges to existing cybersecurity measures, highlighting the need for more effective …

Ransomware detection using network traffic analysis and generative adversarial networks

A Wiles, F Colombo, R Mascorro - 2024 - authorea.com
Ransomware is a significant threat to cybersecurity, causing severe financial and
operational disruptions through the encryption of critical data and demanding ransoms for …

Behavior-based ransomware classification: A particle swarm optimization wrapper-based approach for feature selection

MS Abbasi, H Al-Sahaf, M Mansoori, I Welch - Applied Soft Computing, 2022 - Elsevier
Ransomware is malware that encrypts the victim's data and demands a ransom for a
decryption key. The increasing number of ransomware families and their variants renders …

[PDF][PDF] High-performance digital forensic framework for anomalous ransomware detection in file system log data

R Jones, H Davies - 2024 - techrxiv.org
Ransomware attacks are now increasingly sophisticated, targeting critical systems and
causing significant financial and operational damage to organizations worldwide. A novel …

Zero-day ransomware detection via assembly language bytecode analysis and random forest classification

E Fevid, C Walsh, L Russo - Authorea Preprints, 2024 - techrxiv.org
Ransomware is one of the most pervasive cyber threats, capable of causing widespread
disruption by encrypting critical data and demanding ransom payments. Detecting zeroday …

A multicriteria decision-making approach for ransomware detection using mitre att&ck mitigation strategy

J Axali, L Devereaux, A Spencer, F Vasilev - Authorea Preprints, 2024 - authorea.com
Ransomware attacks have become increasingly sophisticated, targeting critical systems and
exploiting vulnerabilities at multiple stages of the attack lifecycle. A novel framework is …