Zhukabayeva T., Mardenov Y., Ahmad Z., Karabayev N., Satybaldina D.
Analysis of security assessment methodologies for wireless IoT networks using vulnerability taxonomy // 2025 12th International Conference on Internet of Things: Systems, Management and Security (IOTSMS). — Lyon, France, 2025. — Pp. 215–222. — DOI: 10.1109/IOTSMS68530.2025.11408593.

Abstract: The wireless Internet of Things (WIoT) networks are becoming more distributed and less resourceful, employing lighter protocols, but they are also becoming more susceptible to cyber threats. In this study, we investigate the security assessment methodology of the WIoT networks based on vulnerability taxonomy. In the present study, the diverse sources, network layer effects, and possible outcomes of vulnerabilities are intended to be classified in a unique way. The risk analysis has been covered using vulnerability analysis, threat modeling-based risk assessment, and penetration testing. Practical application scenarios can be enacted by means of systematic security assessments to make the IoT -based infrastructure secure. The importance of the proposed study is that it helps in developing security frameworks in the WIoT environment, as it addresses the specific issues of other literature on the topic.

Link / DOI: https://doi.org/10.1109/IOTSMS68530.2025.11408593