Builds a hardware FL testbed for cybersecurity intrusion detection and evaluates its vulnerability to poisoning attacks.
Ae-lstm based anomaly dete ction system for communication over dnp 3.0
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2024 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Federated Learning in Adversarial Environments: Testbed Design and Poisoning Resilience in Cybersecurity
Builds a hardware FL testbed for cybersecurity intrusion detection and evaluates its vulnerability to poisoning attacks.