An Active Cyber Insurance Policy Against Cybersecurity Risks Using Fuzzy Q-Learning

• Published in: Journal of Advanced Research in Applied Sciences and Engineering Technology
• Main Author: Ramli A.K.
• Format: Article
• Language: English
• Published: Penerbit Akademia Baru 2023
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163036339&doi=10.37934%2faraset.30.3.212221&partnerID=40&md5=f9b0cb3b678f69f1c56a1138a0c08f70

Insurance is an extremely diversified from one clear-cut policy to another depending on a rising demand. Internet based businesses are a booming industry and falls under categories of small, medium and enterprise. It is no exception that cybersecurity risks are exponentially presents as a continues fears in this business environment. To ensure this insecurity is handled effectively, cyber insurance policies introduced by insurance companies. However, the nature of cyber risks must be addressed in much more robust and complex algorithms. Autonomic computing with the combination of Fuzzy and QLearning is introduced to ensure active policies are ready to handle the uncertainty and together with the ability to learn and mitigate the unrest situation. © 2023, Penerbit Akademia Baru. All rights reserved.