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LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing

LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing

IEEE Access (IEEE Access), 2020
28 November 2020
Truong Thu Huong
Ta Phuong Bac
D. M. Long
B. D. Thang
N. T. Binh
T. D. Luong
Tran Kim Phuc
ArXiv (abs)PDFHTML

Papers citing "LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing"

5 / 5 papers shown
OptiFLIDS: Optimized Federated Learning for Energy-Efficient Intrusion Detection in IoT
OptiFLIDS: Optimized Federated Learning for Energy-Efficient Intrusion Detection in IoT
Saida Elouardi
Mohammed Jouhari
Anas Motii
204
1
0
05 Oct 2025
Are Trees Really Green? A Detection Approach of IoT Malware Attacks
Are Trees Really Green? A Detection Approach of IoT Malware AttacksARES (ARES), 2025
Silvia Lucia Sanna
Diego Soi
Davide Maiorca
Giorgio Giacinto
116
0
0
09 Jun 2025
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and
  Applications
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and ApplicationsComputer Communications (Comput. Commun.), 2023
Azim Akhtarshenas
Mohammad Ali Vahedifar
Navid Ayoobi
B. Maham
Tohid Alizadeh
Sina Ebrahimi
David López-Pérez
FedML
306
30
0
08 Oct 2023
Federated Deep Learning for Intrusion Detection in IoT Networks
Federated Deep Learning for Intrusion Detection in IoT NetworksGlobal Communications Conference (GLOBECOM), 2023
Othmane Belarbi
Theodoros Spyridopoulos
Eirini Anthi
Ioannis Mavromatis
P. Carnelli
Aftab Khan
OOD
306
37
0
05 Jun 2023
Evaluating Federated Learning for Intrusion Detection in Internet of
  Things: Review and Challenges
Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges
Enrique Mármol Campos
Pablo Fernández Saura
Aurora González-Vidal
José Luis Hernández Ramos
Jorge Bernal Bernabé
G. Baldini
A. Gómez-Skarmeta
276
218
0
02 Aug 2021
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