Advancing IoT security: a comprehensive AI-based trust framework for intrusion detection

Over the years, the Internet of Things (IoT) devices have shown rapid proliferation and development in various domains. However, the widespread adoption of smart devices significantly ameliorates the possibility of several security challenges. To address these challenges, this research presents an a...

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Veröffentlicht in:	Peer-to-peer networking and applications 2024-09, Vol.17 (5), p.2737-2757
Hauptverfasser:	Kaliappan, Chandra Prabha, Palaniappan, Kanmani, Ananthavadivel, Devipriya, Subramanian, Ushasukhanya
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adaptability Algorithms Anomalies Artificial neural networks Bayesian analysis Behavior Communications Engineering Computer Communication Networks Cutting equipment Cybersecurity Engineering Information Systems and Communication Service Information technology Internet of Things Intrusion detection systems Machine learning Networks Peer to peer computing Real time Science Signal,Image and Speech Processing Trust Trustworthiness
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