Predicting CyberSecurity Incidents using Machine Learning Algorithms: A Case Study of Korean SMEs-Reference-Cited by-同舟云学术

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Predicting CyberSecurity Incidents using Machine Learning Algorithms: A Case Study of Korean SMEs

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th International Conference on Information Systems Security and Privacy
language:
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Author:

Mohasseb Alaa¹,Aziz Benjamin¹,Jung Jeyong²,Lee Julak³

Affiliation:

1. School of Computing, University of Portsmouth and U.K., --- Select a Country ---

2. Institute of Criminal Justice Studies, University of Portsmouth and U.K., --- Select a Country ---

3. Department of Security Management, Kyonggi University, Suwon and South Korea, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

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3. Vulnerability prediction for secure healthcare supply chain service delivery;Integrated Computer-Aided Engineering;2022-08-26

4. Cyber resilience in supply chain system security using machine learning for threat predictions;Continuity & Resilience Review;2022-02-09

5. Cyber Threat Predictive Analytics for Improving Cyber Supply Chain Security;IEEE Access;2021

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