Open access
2026
A Federated Learning Based Deep Autoencoder Framework for Robust Malware Detection in Edge Cloud Networks
A federated learning-based method using a deep autoencoder (DAE) has been proposed to detect malware attacks in the edge cloud network and the proposed model has 5% better accuracy than CNN, 17% better than DNN, and 21% better accuracy than RNN in detecting malware in both known and unknown devices.
M. Shah, Shazil Gul
· Computers, Materials & C... · 0 citations