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Real-Time Ransomware Intrusion Detection System Based on Machine Learning for Enhancing Ship Cybersecurity

Year: 2025

Type: article

Source: Korean Association of Maritime Police Science

DOI: 10.30887/jkmps.2025.15.2.001

Authors: 한국해양대학교 기관시스템공학과 조교수, Tae-Youl Jeon, Axel Rafoth, Young-Chan LEE

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4411768994

FWCI:

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