Меню
Information and communication and chemical technologies
No. 3 (24) - 2024 / 2024-09-30 / Number of views: 53
ANALYSIS OF REAL-WORLD AND SIMULATION MODELS AND ALGORITHMS FOR DETECTING ATTACKS IN WIRELESS SENSOR NETWORKS
Authors
Keywords
WSN, Real-world models, Simulation models, WSN attack detection, Attack detection algorithms, Comparative analysis of detection tools, Integration of detection methods, Network security.
Link to DOI:
How to quote
Mardenov Е. ., Ж., Wen-Tsen Х., Mardenova Д. ., and Baumuratova Д. . “ANALYSIS OF REAL-WORLD AND SIMULATION MODELS AND ALGORITHMS FOR DETECTING ATTACKS IN WIRELESS SENSOR NETWORKS”. Vestnik KazUTB, vol. 3, no. 24, Sept. 2024, doi:10.58805/kazutb.v.3.24-482.
Mardenov Е. ., Ж., Wen-Tsen Х., Mardenova Д. ., and Baumuratova Д. . “ANALYSIS OF REAL-WORLD AND SIMULATION MODELS AND ALGORITHMS FOR DETECTING ATTACKS IN WIRELESS SENSOR NETWORKS”. Vestnik KazUTB, vol. 3, no. 24, Sept. 2024, doi:10.58805/kazutb.v.3.24-482.
Abstract
Presented are real-world and simulation models, methods, and tools for simulating attacks on Wireless Sensor Networks (WSNs) intended for use in network vulnerability research. A comparative analysis was conducted to identify their advantages and disadvantages. The research demonstrated that integrating real-world and simulation approaches contributes to increased accuracy and reliability in attack detection. Recommendations are proposed for developing flexible and scalable simulation models, improving the efficiency of attack detection algorithms, and regularly updating models in accordance with changing WSN operating conditions and emerging threats.
