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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Dong-Seong Kim

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3 papers indexed here

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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. · 0 citations
Conference Aug 2026

Calibration Collapse in Federated Industrial IoT Intrusion Detection Under Non-IID Heterogeneity

Federated learning (FL) has been proposed for privacy-preserving Industrial Internet of Things (IIoT) intrusion detection, and predictive uncertainty is expected to support zeroday attack recognition. We compare centralized learning with FedAvg, Mean, Trimmed Mean, Krum, and DP-FedAvg on nearindependent and identically...

C. I. Nwakanma, V. Ihekoronye, Love Allen Chijioke Ahakonye et al. · 0 citations
Conference Aug 2026

Towards Secure Blockchain-Based E-Wallets: A Performance and Security Evaluation

Blockchain-based e-wallet systems offer stronger auditability and tamper resistance than fully centralized architectures; however, the choice of consensus mechanism directly affects transaction performance. This paper presents a blockchain-based e-wallet application that employs AES and RSA to secure transaction data b...

Daffa Ilham Pramadhan, Ahmad Zainudin, Amang Sudarsono et al. · 0 citations

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