Prototype Retrieval-Augmented Federated Learning System for Robust Intrusion Detection

Federated learning-driven cloud intrusion detection using transfer learning and ablation frigate-fairy hybrid optimization

The proposed CNN_TL_AFFHO model provides strong privacy preservation while improving reliability in intrusion detection and reducing false alarm rates, and supports scalable deployment across distributed cloud environments while maintaining robustness against evolving threats.

AMoE-IDS: An Adaptive Mixture-of-Experts Framework for Cross-Dataset Intrusion Detection

An Adaptive Mixture-of-Experts Intrusion Detection System (AMoE-IDS), a hybrid deep learning framework that integrates a shared feature encoder, multiple specialized expert networks, and an adaptive gating mechanism that demonstrates competitive performance, good scalability, and improved cross-dataset generalization.

SmartVille: A Framework for Realistic Deep Learning-Based Online Network Intrusion Detection

SmartVille is introduced, a framework for formulating and studying deep learning-based NID under online, open-world, and multi-modal assumptions, and providing a principled way to design, train, and benchmark adaptive NID models under realistic assumptions while separating the theoretical contribution from its open-sou...

Multi-Class Network Intrusion Detection: Machine and Deep Learning Benchmark with Live Stream Deployment

FLMLog: A Federated LLM Framework for Unified Online Log Anomaly Detection

A unified online log anomaly detection framework, FLMLog, which is based on federated Learning and large language model, and adopts a prefix-aware in-context learning (ICL) refinement strategy, which achieves an improvement in prefix caching efficiency.

Towards Secure and Robust Federated Learning

Federated Learning (FL) is a new way to train machine learning models across many decentralized devices while keeping data private. In Intrusion Detection Systems (IDS), FL allows different networks to share security intelligence without sharing sensitive raw data. However, this decentralized structure makes the system...