Author

M. Putra

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Conference Aug 2026

FedPurge: Byzantine-Robust Federated Aggregation via Cosine Filtering and Trusted-Subset Median for 6G Edge Intrusion Detection

Federated learning (FL) offers a compelling framework for collaborative intrusion detection across distributed 6G edge nodes without centralizing sensitive network traffic data. However, existing aggregation strategies remain vulnerable to poisoning attacks, particularly when malicious clients constitute a large fracti...

M. Putra, N. Karna, I. G. J. E. Putra et al. · International Conference on... · 0 citations

Open access Sep 2026

Comparative evaluation of active learning, random sampling, and deep learning for smart contract vulnerability detection

Findings indicate that ensemble-based classifiers (Random Forest, CatBoost) are better suited to this structured smart contract feature representation than the evaluated deep learning baselines.

G. A. Sampedro, Yan-Hui Cheng, Arlene R. Caballero et al. · Frontiers in Blockchain · 0 citations