Tommaso Zoppi
Papers
2
Total Citations
19
H-Index
1
About
Tommaso Zoppi is a leading researcher at the intersection of cybersecurity, cyber-physical systems (CPS), and Internet of Things (IoT) networks. His primary contributions lie in developing robust, machine learning-based intrusion detection systems (IDSs) for complex, multi-layered environments. Zoppi’s work addresses a critical gap in the field: most existing intrusion detection datasets focus on cyber-only systems and collect data from a single architectural layer, often generating attacks in isolated sessions that fail to replicate real-world conditions. His highly cited 2024 paper, "ROSPaCe," introduces a novel dataset specifically designed for ROS2-based CPS and IoT networks, providing a more realistic foundation for training and evaluating IDSs. This work has already garnered 18 citations, underscoring its immediate impact on the research community. Zoppi’s research is essential for advancing the security of autonomous systems, smart manufacturing, and connected infrastructure. By enabling more accurate and practical intrusion detection, his contributions help safeguard critical systems from evolving cyber threats, making him a key figure in the ongoing effort to secure our increasingly interconnected world.
Research Focus
Key Achievements
Top Papers
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- 2