Results 151 to 160 of about 168,255,097 (200)

Adversarial Machine Learning in Industrial IoT: A Systematic Review of Attack Realism, Defense Trade-Offs, and Deployment Gaps. [PDF]

Sensors (Basel)
Alsaidlani A, Rashid M, Aljabri M.
europepmc   +1 more source

Hierarchical proof of trust a Byzantine fault tolerant federated learning framework for industrial IoT applications. [PDF]

Sci Rep
Chaurasia A, Sharma SK, Rathore PS.
europepmc   +1 more source

GA-AFedOD: gradient-aligned active federated learning for resource-aware object detection in edge industrial IoT. [PDF]

Front Artif Intell
Wang Z, Yuan X, Chen J.
europepmc   +1 more source

TrustFed-RHIO: an optimization-driven differential privacy federated learning framework for secure and explainable IIoT attack detection. [PDF]

Sci Rep
Joseph L, Prabha B, Sambath M.
europepmc   +1 more source

Reliability Evaluation of RSrSF-LoRa and LoRaWAN for Dense Industrial IoT Networks in a Smelter Environment. [PDF]

Sensors (Basel)
Musonda SK, Ndiaye M, Simate Z, Libati HM, Abu-Mahfouz AM.   +4 more
europepmc   +1 more source

DBST-FL: Dynamic Behavioural and Semantic Trust for Robust Federated Learning in Industrial IoT. [PDF]

Sensors (Basel)
Alazab A, Tom AK, Jan T, Whaiduzzaman M, Nguyen T, Khraisat A, Almazrouei A.   +6 more
europepmc   +1 more source

A novel intrusion detection system for IIoT in 5G networks using attention-augmented federated learning and lightweight transformer architectures. [PDF]

Sci Rep
Du J.
europepmc   +1 more source

Secure task offloading framework for industrial edge computing using reconfigurable intelligent surfaces and spectrum agility. [PDF]

Sci Rep
Alhashmi AA, Al Malwi W, Abdullah M, Alghawli ASA, Alkhaldi TM, Alharbi KNR, Alshammari A, Darem AA.   +7 more
europepmc   +1 more source

Co-ADAM: a co-evolutionary signaling game framework for equilibrium cyber deception in industrial IoT. [PDF]

Sci Rep
Wushishi U, Hussain N, Hussain A, Al-Rasheed A, Ullah Z.   +4 more
europepmc   +1 more source

Explainable Intrusion and Anomaly Detection for IoT Sensor Networks Using Hybrid Feature Selection and Deep Autoencoder Learning. [PDF]

Sensors (Basel)
Ahmed U, Muhammad S, Choi J.
europepmc   +1 more source