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Federated Learning for Malware Detection in IoT Devices

Federated Learning for Malware Detection in IoT Devices

15 April 2021
Valerian Rey
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
Gérome Bovet
Martin Jaggi
    FedML
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Papers citing "Federated Learning for Malware Detection in IoT Devices"

11 / 11 papers shown
Title
MADEA: A Malware Detection Architecture for IoT blending Network Monitoring and Device Attestation
MADEA: A Malware Detection Architecture for IoT blending Network Monitoring and Device Attestation
Renascence Tarafder Prapty
R. Trimananda
Sashidhar Jakkamsetti
Gene Tsudik
A. Markopoulou
61
0
0
24 Feb 2025
Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection
Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection
Phai Vu Dinh
Nguyen Quang Uy
D. Hoang
Diep N. Nguyen
Son Pham Bao
E. Dutkiewicz
AAML
62
1
0
22 Mar 2024
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and
  Insights
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights
Maryam Ben Driss
Essaid Sabir
H. Elbiaze
Walid Saad
26
7
0
07 Dec 2023
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly
  Detection in IoT Networks
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks
Wenbin Zhai
Feng Wang
L. Liu
Youwei Ding
Wanyi Lu
20
0
0
23 Aug 2023
Federated Learning for 5G Base Station Traffic Forecasting
Federated Learning for 5G Base Station Traffic Forecasting
V. Perifanis
Nikolaos Pavlidis
R. Koutsiamanis
P. Efraimidis
AI4TS
28
41
0
28 Nov 2022
Anomaly Detection via Federated Learning
Anomaly Detection via Federated Learning
Marc Vucovich
A. Tarcar
Penjo Rebelo
N. Gade
Ruchi Porwal
...
R. Schiller
Edward Bowen
Alex West
Sanmitra Bhattacharya
Balaji Veeramani
FedML
19
7
0
12 Oct 2022
Symbolic analysis meets federated learning to enhance malware identifier
Symbolic analysis meets federated learning to enhance malware identifier
Khanh-Huu-The Dam
Charles-Henry Bertrand Van Ouytsel
Axel Legay
FedML
6
5
0
29 Apr 2022
Demystifying the Transferability of Adversarial Attacks in Computer
  Networks
Demystifying the Transferability of Adversarial Attacks in Computer Networks
Ehsan Nowroozi
Yassine Mekdad
Mohammad Hajian Berenjestanaki
Mauro Conti
Abdeslam El Fergougui
AAML
21
31
0
09 Oct 2021
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
31
148
0
02 Aug 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
169
351
0
07 Dec 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
177
1,031
0
29 Nov 2018
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