A Hybrid Machine Learning Framework for Robust Detection of Malicious DNS-over-HTTPS Tunneling Traffic

Дата публикации: 10-08-2026 16:05:44

An article created on 2026-08-10 16:05:44

Схожие новости

#	Наименование новости	Тональность	Информативность	Дата публикации
1	A Comprehensive Study of Supervised Machine Learning Models for Zero-Day Attack Detection: Analyzing Performance on Imbalanced Data	0	17.47	10-08-2026
2	A Hybrid Graph Neural Network Approach for Fraud Detection in Financial Transactions	0	15.56	11-08-2026
3	Adaptive Fusion of Closed-World and Open-Set Detectors for Zero-Day Attack Generalization in Industrial IoT Intrusion Detection	0	28.18	10-08-2026
4	Data Lineage as Infrastructure: Operationalizing the Translation Methodology for Trusted Data Pipelines	0	14.17	10-08-2026
5	A Privacy-Preserving Federated Intrusion Detection Framework with Reputation-Aware Client Selection and Integrity Verification	0	25.79	11-08-2026
6	Edge Weight Concentration Overcomes Node Degree Blindness in Graph Based Network Intrusion Detection	0	15.26	10-08-2026
7	An Adaptive Resource-Aware MK-CKKS Framework with Linear- Complexity Multi-Key Aggregation for Privacy-Preserving Federated Learning in Resource-Constrained IoT Environments	0	33.14	10-08-2026
8	Training as Treatment: A Causal Framework for Machine-Learning Evaluation	0	23.33	10-08-2026
9	Adaptive Data Partitioning for Energy-Efficient Federated and Distributed Learning on Heterogeneous Systems	0	19.41	10-08-2026
10	Dynamic Lightweight YOLO for UAV-Based Forest Fire Detection\	0	24.29	10-08-2026

Классификация: Пресс-релизы. Схожих патентов: 0. Схожих новостей: 10. Тональность: 0. Информативность: 20.53. Источник: www.researchsquare.com.