A Time-Series Self-Supervised Learning Approach to Detection of Cyber-physical Attacks in Water Distribution Systems
Water Distribution System Diary (WDS) threats have significantly grown following the Maroochy shire incident, as evidenced by proofed attacks on water premises.As a result, in addition to traditional solutions (e.g., data encryption and authentication), attack detection is being proposed in WDS to reduce disruption cases.The attack detection system