Year: 2023
Type: conference-paper
Abstract: Industrial Cyber-Physical Systems (CPSs), like any computer system, are vulnerable to cyberattacks that may endanger the safety of personnel on automated production lines.This paper studies IDSs for industrial robots that model their legitimate behavior through statistical and ML techniques and detect anomalies as deviations from the learned norm.We validate our approach against attacks in a simulated and real environment, demonstrating its effectiveness in detecting anomalous behaviors during the robot operation.
Authors: Davide Avanzi, Stefano Longari, Mario Polino, Michele Carminati, Andrea Maria Zanchettin, Mara Tanelli, Stefano Zanero
Institution: Politecnico di Milano
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7071328910