Tommaso Puccetti
Papers
1
Total Citations
18
H-Index
1
About
Tommaso Puccetti is a leading researcher at the intersection of cybersecurity, cyber-physical systems (CPS), and the Internet of Things (IoT), with a particular focus on securing robotic and autonomous platforms. His most cited work, "ROSPaCe: Intrusion Detection Dataset for a ROS2-Based Cyber-Physical System and IoT Networks" (2024, 18 citations), addresses a critical gap in the field: the lack of realistic, multi-layer intrusion detection datasets for systems built on the Robot Operating System 2 (ROS2). By generating attacks within authentic operational contexts rather than isolated sessions, Puccetti’s dataset enables the development of more robust, machine learning-based intrusion detection systems (IDSs) that reflect real-world CPS and IoT threats. This contribution is foundational for researchers and practitioners aiming to protect next-generation robotic and industrial networks. His work bridges the divide between cyber-only security research and the complex, layered realities of physical systems, marking him as a key voice in advancing resilient, intelligent infrastructure for the IoT era.
Research Focus
Key Achievements
Top Papers
- 1