Wenqi Jiang
Papers
1
Total Citations
3
H-Index
1
About
Wenqi Jiang is a researcher at the forefront of cybersecurity for cyber-physical systems, with a particular focus on industrial robotics. Their key research area lies in developing novel security assessment frameworks that bridge the gap between theoretical vulnerability analysis and practical attack simulation. Jiang's most notable contribution is the creation of FuzzAGG, a fuzzing-driven attack graph generation framework specifically designed for industrial robot systems. This work, published in 2024, introduces a pioneering methodology that combines fuzz testing with automated attack graph construction, enabling security analysts to systematically identify and visualize potential attack paths in complex robotic environments. While still early in its citation trajectory, FuzzAGG represents a significant step forward in proactive security for critical manufacturing infrastructure, addressing the unique challenges of real-time control systems and proprietary communication protocols. Jiang's research is particularly impactful for practitioners seeking to harden industrial automation against sophisticated cyber threats, offering a practical tool for both vulnerability discovery and risk assessment in operational technology settings.
Research Focus
Key Achievements
Top Papers
- 1