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Federated Deep Learning for Intrusion Detection in IoT Networks

Federated Deep Learning for Intrusion Detection in IoT Networks

5 June 2023
Othmane Belarbi
Theodoros Spyridopoulos
Eirini Anthi
Ioannis Mavromatis
P. Carnelli
Aftab Khan
    OOD
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Papers citing "Federated Deep Learning for Intrusion Detection in IoT Networks"

4 / 4 papers shown
Title
Swarm Intelligence-Driven Client Selection for Federated Learning in
  Cybersecurity applications
Swarm Intelligence-Driven Client Selection for Federated Learning in Cybersecurity applications
Koffka Khan
Wayne Goodridge
57
0
0
28 Nov 2024
FedMADE: Robust Federated Learning for Intrusion Detection in IoT
  Networks Using a Dynamic Aggregation Method
FedMADE: Robust Federated Learning for Intrusion Detection in IoT Networks Using a Dynamic Aggregation Method
Shihua Sun
Pragya Sharma
Kenechukwu Nwodo
Angelos Stavrou
Haining Wang
22
2
0
13 Aug 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
Shihua Sun
Shridatt Sugrim
Angelos Stavrou
Haining Wang
AAML
42
1
0
13 Jul 2024
Challenges in the Design and Implementation of IoT Testbeds in
  Smart-Cities: A Systematic Review
Challenges in the Design and Implementation of IoT Testbeds in Smart-Cities: A Systematic Review
Vijaya Kumar
S. Gunner
Theodoros Spyridopoulos
Antonis Vafeas
James Pope
Poonam Yadav
G. Oikonomou
T. Tryfonas
12
4
0
21 Feb 2023
1