SAFE-CAST: secure AI-federated enumeration for clustering-based automated surveillance and trust in machine-to-machine communication
Machine-to-machine (M2M) communication within the Internet of Things (IoT) faces increasing security and efficiency challenges as networks proliferate. Existing approaches often struggle with balancing robust security measures and energy efficiency, leading to vulnerabilities and reduced performance...
Saved in:
| Main Authors: | Yusuf Kursat Tuncel, Kasım Öztoprak |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-01-01
|
| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-2551.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adapting security and decentralized knowledge enhancement in federated learning using blockchain technology: literature review
by: Menna Mamdouh Orabi, et al.
Published: (2025-03-01) -
Secure internet of medical things based electronic health records scheme in trust decentralized loop federated learning consensus blockchain
by: Megha Kuliha, et al.
Published: (2024-01-01) -
Federated Transfer Learning for IIoT Devices With Low Computing Power Based on Blockchain and Edge Computing
by: Peiying Zhang, et al.
Published: (2021-01-01) -
Converging Technologies for Health Prediction and Intrusion Detection in Internet of Healthcare Things With Matrix- Valued Neural Coordinated Federated Intelligence
by: Sarah A. Alzakari, et al.
Published: (2024-01-01) -
Advanced Techniques for Anomaly Detection in Blockchain: Leveraging Clustering and Machine Learning
by: Ferdiansyah Ferdiansyah, et al.
Published: (2025-03-01)