The Evolution of Ransomware: Techniques for Detection, Analysis, and Mitigation

EasyChair Preprint 14923

Abstract

Ransomware has evolved significantly since its emergence, adapting to and exploiting advancements in technology and cybersecurity defenses. This paper provides a comprehensive overview of the evolution of ransomware, focusing on its changing techniques and the corresponding advancements in detection, analysis, and mitigation strategies. We begin with a historical perspective, tracing the development of ransomware from its initial forms to its current sophisticated variants. The paper examines the progression of attack methods, including encryption algorithms, distribution mechanisms, and social engineering tactics. We then analyze contemporary detection techniques, such as behavioral analysis, machine learning, and anomaly detection, highlighting their effectiveness and limitations. The discussion extends to analytical approaches used to reverse-engineer ransomware and understand its impact on affected systems. Finally, we explore various mitigation strategies, including proactive measures, incident response planning, and recovery techniques, offering insights into best practices and emerging trends. This study aims to equip cybersecurity professionals with a deeper understanding of ransomware dynamics and practical tools for combating this persistent and evolving threat.

Keyphrases: Frameworks, Mitigating Risks, insights

@booklet{EasyChair:14923,
  author    = {Adeyeye Barnabas},
  title     = {The Evolution of Ransomware: Techniques for Detection, Analysis, and Mitigation},
  howpublished = {EasyChair Preprint 14923},
  year      = {EasyChair, 2024}}