A Novel Evolutionary Optimized Transformer-Deep Reinforcement Learning Framework for False Data Injection Detection in Industry 4.0 Smart Water Infrastructures

Computers, materials & continua/Computers, materials & continua (Print) 2026 Open access

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Authors: Ahmad Salehiyan, Nuria Serrano, Francisco Hernando-Gallego, Diego Martín, J.V. Alvarez-Bravo
DOI: 10.32604/cmc.2026.075336
Cited by: 0

Abstract

The increasing integration of cyber-physical components in Industry 4.0 water infrastructures has heightened the risk of false data injection (FDI) attacks, posing critical threats to operational integrity, resource managemen... | Find, read and cite all the research you need on Tech Science Press

Fields of Study & Subjects

Smart Grid Security and Resilience Water Systems and Optimization Network Security and Intrusion Detection

Publication details

Journal / source
Computers, materials & continua/Computers, materials & continua (Print)
Volume
87
Issue
2
Pages
1–10
Publication date
1 January 2026
Language
EN