Adversarial Machine Learning in Industrial IoT: A Systematic Review of Attack Realism, Defense Trade-Offs, and Deployment Gaps. [PDF]
Alsaidlani A, Rashid M, Aljabri M.
europepmc +1 more source
AgroPatch AutoStrike for adversarial patch attacks on plant disease detection models. [PDF]
Wu Y +9 more
europepmc +1 more source
A Hybrid Deep Autoencoders and Random Forest Framework for False Data Injection Attack Detection in Industrial Internet of Things Networks. [PDF]
Albarrak AM +3 more
europepmc +1 more source
ADS Guard: A Generalizable Defense Framework for Adversarially Robust Occupancy Detection in Smart Buildings. [PDF]
Chaudhari P, Xiao Y, Sun W.
europepmc +1 more source
A Review of Adversarial Example Detection in IoT Sensor Networks: Methods, Evaluation, and Edge Deployment Constraints. [PDF]
Xu W, Li J.
europepmc +1 more source
The Evolving Security of the Internet of Vehicles: A Survey from Classical Machine Learning to Large Language Models, Adversarial Robustness, and Explainable AI. [PDF]
Sani MS, Iranmanesh S, Raad R.
europepmc +1 more source
Extreme vulnerability to intruder attacks destabilizes network dynamics. [PDF]
Nazerian A +5 more
europepmc +1 more source
Lightweight Security-by-Design for TinyML Models in Constrained Embedded Environments. [PDF]
Alanazi HA, Alshammari KR.
europepmc +1 more source
Liquid neural networks for adaptive DDoS detection in IoT and SDN environments. [PDF]
Raza M, Sattar MA, Jahangir Z, Billah M.
europepmc +1 more source

