Authors: Ali Mehrban, Shirin Karimi Geransayeh

Published on: January 27, 2024

Impact Score: 8.38

Arxiv code: Arxiv:2401.15285

Summary

• What is new: This paper presents a new method for detecting ransomware using machine learning algorithms to analyze network traffic patterns.
• Why this is important: The rise in ransomware attacks causing significant damage to organizations.
• What the research proposes: A machine learning-based approach to recognize and identify ransomware through network traffic analysis.
• Results: High levels of precision and accuracy in identifying ransomware utilizing machine learning algorithms.

Technical Details

Technological frameworks used: Machine learning algorithms for network traffic analysis

Models used: Not specified in the provided abstract

Data used: Network traffic patterns

Potential Impact

Cybersecurity firms, IT departments across various industries, and companies specializing in network security could significantly benefit from these insights.

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