Yeohoon Yun

Papers

Total Citations

H-Index

About

Yeohoon Yun is a researcher focused on advancing the security of Internet of Things (IoT) systems, with key contributions in automated vulnerability discovery through hybrid testing methodologies. His most cited work, "Poster: Combining Fuzzing with Concolic Execution for IoT Firmware Testing" (2023), addresses a critical challenge: the growing proliferation of IoT devices across industries like autonomous driving, construction, and robotics has outpaced security measures, leaving diverse firmware vulnerable to exploitation. Yun’s major contribution lies in integrating fuzzing—a technique for generating random inputs to trigger bugs—with concolic execution, which systematically explores program paths using symbolic constraints. This hybrid approach enhances the depth and efficiency of firmware testing, enabling the detection of complex vulnerabilities that traditional methods might miss. With 4 citations, this work has already garnered attention for its practical relevance in securing real-world IoT deployments. Yun’s research is particularly notable for targeting the heterogeneous nature of IoT devices, where diverse architectures and limited resources often hinder security analysis. By bridging the gap between scalability and thoroughness, Yeohoon Yun is helping to fortify the foundation of an increasingly connected world.