지승하, 이일구, 한동임, 전소은,

Vol. 35, No. 1, pp. 79-85, 2월. 2025
10.13089/JKIISC.2025.35.1.79, Full Text:
Keywords: Fuzzing, firmware, Patch mechanism, IoT security
Abstract

As the Internet of Things (IoT) continues to be widely used in daily life and industry, efficiently processing and protecting data in large-scale IoT networks has become increasingly important. Furthermore, vulnerabilities in the firmware of wireless network devices are directly linked to IoT security issues, making it critical to promptly identify and patch these vulnerabilities. However, conventional IoT security mechanisms rely on random fuzzing techniques to detect vulnerabilities and perform wireless firmware updates to patch them. This prevents the swift and efficient detection and resolution of vulnerabilities. This paper proposes an event data recording (EDR)-based fuzzing technique to efficiently verify firmware patch status in wireless connectivity devices. Experimental results show that, compared to conventional models, vulnerability detection rates increased by an average of 90%, and vulnerability detection speed improved by 89.15%.

Statistics
Cite this article