Untargeted Poisoning Attack Detection in Federated Learning via Behavior AttestationAl

Federated Learning (FL) is a paradigm in Machine Learning (ML) that addresses data privacy, security, access rights and access to heterogeneous information issues by training a global model using distributed nodes. Despite its advantages, there is an increased potential for cyberattacks on FL-based...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Ranwa Al Mallah, David Lopez, Godwin Badu-Marfo, Bilal Farooq
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Security and privacy intrusion detection systems distributed systems security federated learning poisoning attack behavior
Online Access:	https://ieeexplore.ieee.org/document/10309113/