Cybersecurity In Crisis: The Growing Menace Of Ransomware

Ransomware has emerged as one of the most critical cybersecurity threats, targeting individuals, enterprises, and critical infrastructure worldwide. The rapid evolution of ransomware techniques [1] [2], including Ransomware-as-a-Service (RaaS), double extortion, and fileless attacks, has rendered traditional signature- based security mechanisms increasingly ineffective [3] [4] [5].This paper presents a comprehensive analytical study of modern ransomware attacks, examining their evolution, attack vectors, and real-world incidents such as WannaCry, Ryuk, and the Colonial Pipeline attack [6] [7].A systematic literature review is conducted to evaluate existing detection and mitigation strategies, with a particular focus on artificial intelligence-driven techniques, including behavioral analysis, anomaly detection, and machine-learning-based threat intelligence. The effectiveness of multi-layered defense mechanisms, including endpoint security, blockchain- based data integrity, and Zero Trust architectures, is critically assessed.The findings highlight that AI-based detection models significantly improve early identification of ransomware, while proactive threat intelligence and coordinated defense frameworks enhance organisational resilience. This study contributes practical insights for strengthening ransomware defense strategies and outlines future research directions for adaptive and intelligent cybersecurity systems.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-02
DOI
https://doi.org/10.5281/zenodo.18649182
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Cybersecurity In Crisis: The Growing Menace Of Ransomware

Zenodo (CERN European Organization for Nuclear Research)
Advanced Malware Detection Techniques
article

Cybersecurity In Crisis: The Growing Menace Of Ransomware

article en

Abstract

Ransomware has emerged as one of the most critical cybersecurity threats, targeting individuals, enterprises, and critical infrastructure worldwide. The rapid evolution of ransomware techniques [1] [2], including Ransomware-as-a-Service (RaaS), double extortion, and fileless attacks, has rendered traditional signature- based security mechanisms increasingly ineffective [3] [4] [5].This paper presents a comprehensive analytical study of modern ransomware attacks, examining their evolution, attack vectors, and real-world incidents such as WannaCry, Ryuk, and the Colonial Pipeline attack [6] [7].A systematic literature review is conducted to evaluate existing detection and mitigation strategies, with a particular focus on artificial intelligence-driven techniques, including behavioral analysis, anomaly detection, and machine-learning-based threat intelligence. The effectiveness of multi-layered defense mechanisms, including endpoint security, blockchain- based data integrity, and Zero Trust architectures, is critically assessed.The findings highlight that AI-based detection models significantly improve early identification of ransomware, while proactive threat intelligence and coordinated defense frameworks enhance organisational resilience. This study contributes practical insights for strengthening ransomware defense strategies and outlines future research directions for adaptive and intelligent cybersecurity systems.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Advanced Malware Detection Techniques
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