An Encoding-Based Detection Approach for Stealthy FDI Attacks via Dimensional Transformation of Measurement Data

This research paper proposes a method to detect FDI attacks (false data injection, where attackers insert fake sensor readings into control systems) by using encoding techniques to transform measurement data into a different mathematical space. The approach aims to catch stealthy FDI attacks that are designed to evade traditional detection methods by disguising themselves as normal system behavior.