Security of automatic guided vehicles in industrial environment : attack and countermeasures

• Main Author: Xie, Minxin
• Other Authors: Xie Lihua
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/144059
• Institution: Nanyang Technological University

This dissertation focuses on replay attack in the Industrial IoT field. The goal is to develop an active detection scheme to detect replay attacks against the Automated Guided Vehicles (AGVs). We assume the control system to be a discrete time linear time invariant system applying an infinite horizon Linear Quadratic Regulator (LQR) controller. Since the principle of the replay attack is to record a sensor measurements sequence and then replay the recorded signals to fool the detector, it is hard for the operator to detect it without a specific detector. So, the dissertation is aimed to develop a detector algorithm against the replay attack for control systems. And the simulations and experiments are carried out to verify and validate the effectiveness of the designed replay attack detector.