Вход на сайт

Просмотр новости

Найдите то, что Вас интересует

A Privacy-Preserving Federated Intrusion Detection Framework with Reputation-Aware Client Selection and Integrity Verification

Дата публикации: 11-08-2026 21:21:53

An article created on 2026-08-11 21:21:53

Схожие новости

#Наименование новостиТональностьИнформативностьДата публикации
1An Adaptive Resource-Aware MK-CKKS Framework with Linear- Complexity Multi-Key Aggregation for Privacy-Preserving Federated Learning in Resource-Constrained IoT Environments033.1410-08-2026
2Adaptive Fusion of Closed-World and Open-Set Detectors for Zero-Day Attack Generalization in Industrial IoT Intrusion Detection028.1810-08-2026
3Decentralized AI-Powered Zero-Trust Identity and Access Management Using Blockchain and Deepfake-Resistant Multimodal Biometrics028.9211-08-2026
4Feature-Reduced IoT Intrusion Detection Using Clustering-Based Mutual Information and Meta-Heuristic CNN Optimization032.2211-08-2026
5A Hybrid Graph Neural Network Approach for Fraud Detection in Financial Transactions015.5611-08-2026
6A Hybrid Machine Learning Framework for Robust Detection of Malicious DNS-over-HTTPS Tunneling Traffic020.5310-08-2026
7Edge Weight Concentration Overcomes Node Degree Blindness in Graph Based Network Intrusion Detection015.2610-08-2026
8An Empirical Study of Stability and Fairness Side-Effects of Federated Unlearning for Departed Clients under Non-IID Data020.2511-08-2026
9Eco-Efficient Cascade Architecture of Gradient-Boosted Tree Methods for Credit Card Fraud Detection026.6711-08-2026
10Labelled-Metadata Channels and Declarative Payload Phrasing in Hidden Prompt Injection: A Cross-Format Measurement Study02511-08-2026

Классификация: Пресс-релизы. Схожих патентов: 0. Схожих новостей: 10. Тональность: 0. Информативность: 25.79. Источник: www.researchsquare.com.