IoT Security Management Using Reinforcement Learning: The Case of Cameroon National Regulatory Compliances

Kum Bertrand Kum, Dr. Austin Oguejiofor Amaechi, Prof Tonye Emmanuel and Prof Mbarika W. Victor
Additional contact information
Kum Bertrand Kum: The ICT University Cameroon under the mentorship of the University of Buea-Faculty of Information & Communications Technologies-Science of Engineering & Information Sciences.
Dr. Austin Oguejiofor Amaechi: The ICT University Cameroon under the mentorship of the University of Buea-Faculty of Information & Communications Technologies-Science of Engineering & Information Sciences.
Prof Tonye Emmanuel: The ICT University Cameroon under the mentorship of the University of Buea-Faculty of Information & Communications Technologies-Science of Engineering & Information Sciences.
Prof Mbarika W. Victor: The ICT University Cameroon under the mentorship of the University of Buea-Faculty of Information & Communications Technologies-Science of Engineering & Information Sciences.

International Journal of Latest Technology in Engineering, Management & Applied Science, 2025, vol. 14, issue 6, 973-990

Abstract: The increasing adoption of Internet of Things (IoT) devices in Cameroon presents significant security challenges, particularly concerning regulatory compliance. Ensuring secure and adaptive management of IoT systems is critical to mitigating cyber risks while aligning with national regulations. This study investigates the use of Reinforcement Learning (RL) for enhancing IoT security management in Cameroon, with a particular focus on compliance with national cybersecurity regulations (e.g., Law No. 2010/012). Using a Markov Decision Process (MDP), the research defines regulatory-compliant state and action spaces, and trains a Q-learning agent within a simulated IoT environment (CyberBattleSim).

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.ijltemas.in/DigitalLibrary/Vol.14Issue6/973-990.pdf (application/pdf)
https://www.ijltemas.in/papers/volume-14-issue-6/973-990.html (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bjb:journl:v:14:y:2025:i:6:p:973-990

Access Statistics for this article

International Journal of Latest Technology in Engineering, Management & Applied Science is currently edited by Dr. Pawan Verma

More articles in International Journal of Latest Technology in Engineering, Management & Applied Science from International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS)
Bibliographic data for series maintained by Dr. Pawan Verma ().