Federated Learning-Assisted Coati Deep Learning-Based Model for Intrusion Detection in MANET
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Federated Learning-Assisted Coati Deep Learning-Based Model for Intrusion Detection in MANET ; volume:17 ; number:1 ; day:21 ; month:11 ; year:2024 ; pages:1-15 ; date:12.2024
International journal of computational intelligence systems ; 17, Heft 1 (21.11.2024), 1-15, 12.2024
- Urheber
-
Hussain, S. Faizal Mukthar
Fathima, S. M. H. Sithi Shameem
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s44196-024-00590-w
- URN
-
urn:nbn:de:101:1-2502072114209.985224409129
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:20 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Hussain, S. Faizal Mukthar
- Fathima, S. M. H. Sithi Shameem
- SpringerLink (Online service)
Ähnliche Objekte (12)
Federated learning-based natural language processing: a systematic literature review
A novel ensemble learning-based model for network intrusion detection
Perfednilm: a practical personalized federated learning-based non-intrusive load monitoring
MLSTL-WSN: machine learning-based intrusion detection using SMOTETomek in WSNs
Cyber Threat Intelligence Sharing Scheme Based on Federated Learning for Network Intrusion Detection
FSL: federated sequential learning-based cyberattack detection for Industrial Internet of Things
Privatized graph federated learning
Meta learning-based few-shot intrusion detection for 5G-enabled industrial internet
A novel time efficient learning-based approach for smart intrusion detection system
ID-RDRL: a deep reinforcement learning-based feature selection intrusion detection model
Emerging trends in federated learning: from model fusion to federated X learning
Towards Federated Learning in Dentistry
Federated learning-based natural language processing: a systematic literature review
A novel ensemble learning-based model for network intrusion detection
Perfednilm: a practical personalized federated learning-based non-intrusive load monitoring
MLSTL-WSN: machine learning-based intrusion detection using SMOTETomek in WSNs
Cyber Threat Intelligence Sharing Scheme Based on Federated Learning for Network Intrusion Detection
FSL: federated sequential learning-based cyberattack detection for Industrial Internet of Things
Privatized graph federated learning
Meta learning-based few-shot intrusion detection for 5G-enabled industrial internet
A novel time efficient learning-based approach for smart intrusion detection system
ID-RDRL: a deep reinforcement learning-based feature selection intrusion detection model
Emerging trends in federated learning: from model fusion to federated X learning
Towards Federated Learning in Dentistry
Federated learning-based natural language processing: a systematic literature review
A novel ensemble learning-based model for network intrusion detection
Perfednilm: a practical personalized federated learning-based non-intrusive load monitoring
MLSTL-WSN: machine learning-based intrusion detection using SMOTETomek in WSNs
Cyber Threat Intelligence Sharing Scheme Based on Federated Learning for Network Intrusion Detection
FSL: federated sequential learning-based cyberattack detection for Industrial Internet of Things
Privatized graph federated learning
Meta learning-based few-shot intrusion detection for 5G-enabled industrial internet
A novel time efficient learning-based approach for smart intrusion detection system
ID-RDRL: a deep reinforcement learning-based feature selection intrusion detection model
Emerging trends in federated learning: from model fusion to federated X learning