Skip to content
Research Article Open access CC BY 4.0

The Ransomware Epidemic: Recent Cybersecurity Incidents Demystified

Sheetal Temara

Asian Journal of Advanced Research and Reports · pp. 1–16 · Published 5 Feb 2024

10.9734/ajarr/2024/v18i3610

Abstract

The pervasive threat of ransomware poses a significant risk to businesses across various scales as cybercriminals continue to exploit vulnerabilities causing severe disruptions and demanding substantial ransom payments.  This review conducts a comprehensive literature review delving into recent ransomware attacks to analyze key aspects, including the targeted organizations, attack vectors, threat actors, propagation mechanisms, and the resulting business impact.  The study goes beyond a surface examination by exploring the evolving nature of ransomware attacks, encompassing different types, attack vectors, and emerging tactics, such as double extortion, where cybercriminals not only encrypt data but also exfiltrate and threaten to release it publicly unless a ransom is paid.  High-profile incidents, including those involving SickKids Hospital, Royal Mail, Dish Network, Five Guys, and ION are scrutinized to glean insights into the intricacies of these attacks.  The review also evaluates the effectiveness of existing ransomware defenses and proposes potential strategies for organizations to counteract, identify, and manage ransomware incidents.  The findings underscore the critical need for organizations to comprehend the evolving ransomware landscape and implement robust cybersecurity measures to protect both internal and external stakeholders.  As ransomware continues to evolve in complexity, this study provides valuable insights emphasizing the importance of proactive defenses to mitigate the risks posed by this growing threat.

Ransomware cybercriminals ransomware incidents ransomware defenses

Cited by 20

Preventive Self-defense Under Cyber Epidemic Attacks: A Dynamical Perspective

Dingyu Yan, Zheng He, Jiawei Qin · Arabian Journal for Science and Engineering · 2025

Lightweight and Robust Android Ransomware Detection Using Behavioral Analysis and Feature Reduction

Muhammad Sibtain, Mehdi Hussain, Qaiser Riaz · Computers, Materials & Continua · 2025

A Systematic Literature Review on Blockchain-based Cybersecurity Models for Ransomware Mitigation

Ade Ilham Fajri, Mohammad Isa Irawan, Faizal Mahananto · 2024 IEEE International Symposium on Consumer Technology (ISCT) · 2024

AI-Based Anomaly Detection for IoT Cybersecurity Events

Zineb Hidila, Mohamed Tabaa · Communications in Computer and Information Science · 2026

Exploring the Potential of AI/ML Algorithms for Automated Diagnosis in Smart Healthcare

Vaishali Gupta, Birendra Kumar Saraswat, Vikrant Sharma · 2024 International Conference on Communication, Computing and Energy Efficient Technologies (I3CEET) · 2024

3D Magnetic Resonance Imaging for Detailed Evaluation of Disc Disease

Arun Mittal, Bogart Yail Marquez Lobato, Birendra Kumar Saraswat · 2024 4th International Conference on Advancement in Electronics & Communication Engineering (AECE) · 2024

Investigating the Use of Applied Cryptography Algorithms for Authentication

Jyoti, Shivani Garg, Purushottam Das · 2024 International Conference on Communication, Computing and Energy Efficient Technologies (I3CEET) · 2024

Smart Monitoring: Autonomous Medical Assistants for Increased Patient Safety

Batani Raghavendra Rao, Nikita Shukla, Swati Gupta · 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) · 2024

Advanced Clustering and Predictive Modeling Using AI/ML Algorithms in Smart Healthcare

Deepak Sharma, Amit Singhal, Satvik Vats · 2024 International Conference on Communication, Computing and Energy Efficient Technologies (I3CEET) · 2024

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

20

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.