Published on: April 2026
AI BASED EARLY RANSOMWARE DETECTION SYSTEM USING LLM
K. Dhivya R. Sri Nithya S. Niranchana
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Abstract
Ransomware attacks are a problem now. They target people, companies and the government by locking up information and asking for money to get it back. The old ways of keeping things safe often do not catch these attacks until it is too late. So it is very important to catch them as they happen. This project is about making a system that can detect ransomware in time. It uses Artificial Intelligence and Large Language Models to find and stop ransomware.The system watches what is happening on the computer all the time. It looks at things like what filesre being used what programs are running and if anything strange is happening with encryption. The system uses machine learning to tell the difference between bad behavior. It learns from what it has seen. The Large Language Models help the system understand what is going on by looking at patterns and giving more information. This helps the system catch types of ransomware.
How to Cite this Paper
Dhivya, K., Nithya, R. S. & Niranchana, S. (2026). AI Based Early Ransomware Detection System using LLM. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.474
Dhivya, K., et al.. "AI Based Early Ransomware Detection System using LLM." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.474.
Dhivya, K.,R. Nithya, and S. Niranchana. "AI Based Early Ransomware Detection System using LLM." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.474.
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- •All submissions are screened under plagiarism detection.
- •Review follows editorial policy.
- •Authors retain copyright.
- •Peer Review Type: Double-Blind Peer Review
- •Published on: Apr 18 2026
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