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A Survey of Crypto Ransomware Attack Detection Methodologies: An Evolving Outlook.

Abdullah Alqahtani1,2, Frederick T Sheldon1

  • 1Department of Computer Science, University of Idaho, Moscow, ID 83843, USA.

Sensors (Basel, Switzerland)
|March 10, 2022
PubMed
Summary

Ransomware attacks, especially crypto ransomware, pose significant threats to cyber systems. This survey reviews current detection models, highlighting the need for advanced methods to counter evasive tactics and improve cybersecurity defenses.

Keywords:
crypto ransomwaredata centricdeep learningearly detectionevent-based detectionmachine learning-based detectionmalwareprocess centric

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Area of Science:

  • Cybersecurity
  • Computer Science
  • Information Security

Background:

  • Ransomware attacks are a major global threat, particularly targeting critical cyber-physical systems.
  • Existing crypto ransomware early detection models rely on runtime data but are often circumvented by evasive attack mechanisms.
  • There is a critical need to enhance current security defenses to counter the evolving momentum of ransomware attacks.

Purpose of the Study:

  • To survey and analyze the state-of-the-art in ransomware attack detection.
  • To facilitate the research community in developing effective strategies against ransomware.
  • To focus on crypto ransomware due to its prevalence and destructive nature.

Main Methods:

  • Reviewing existing literature on ransomware detection models.
  • Analyzing the effectiveness of current approaches against evasive ransomware tactics.
  • Identifying open issues and challenges in ransomware detection modeling.

Main Results:

  • Current detection models face challenges due to sophisticated evasion techniques employed by ransomware.
  • A significant gap exists between the capabilities of existing defenses and the evolving nature of ransomware attacks.
  • The survey provides a comprehensive overview of current research and its limitations.

Conclusions:

  • Further research is essential to develop next-generation ransomware detection systems.
  • Future efforts should focus on adaptive and more robust detection mechanisms.
  • Recommendations are established for future research directions to address the escalating ransomware problem.