Graph-Based Methodology for Security Risk Assessment in Wireless IoT Networks
Adamova A. Zhukabayeva T. Mardenov Y. Karabayev N.
2025Institute of Electrical and Electronics Engineers Inc.
IEEE European Technology and Engineering Management Summit, E-TEMS
2025Issue 2025207 - 212 pp.
Wireless IoT networks play a crucial role in shaping smart cities, facilitating efficient urban management and improving the quality of life for residents. These networks integrate various technologies to optimize infrastructure, energy consumption, and transportation systems while addressing challenges such as security and data management. Assessing the security of wireless IoT networks is critical due to their vulnerability to various cyber threats, including jamming and data breaches. Recent studies emphasize the importance of integrating advanced technologies such as machine learning and lightweight cryptography to enhance security measures. In turn, an attack graph can mimic the possible paths used by attackers to intrude into a network. The use of attack graph presents an opportunity to evaluate the security of the network and by analyzing one can also predict the behavior of the attacker. In the presented research, approaches to analyze the security of wireless IoT networks based on the graph model have been discussed. The main results of the study include the development of a risk assessment methodology, an algorithm for identifying attacker paths and the application of Markov model for predicting the network state. The work shows that the use of these methods allows for a deeper understanding of possible threats and the development of effective defense strategies.
graph methodology , Markov model , risk assessment , smart city , vulnerability , wireless network
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L. Gumilyov Eurasian National University, Astana, Kazakhstan
Astana IT University, Astana, Kazakhstan
L. Gumilyov Eurasian National University
Astana IT University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026