Blockchain-Based Federated Learning for Securing Internet of Things: A Comprehensive Survey
University of Canberra · UNSW Canberra
Abstract
The Internet of Things (IoT) ecosystem connects physical devices to the internet, offering significant advantages in agility, responsiveness, and potential environmental benefits. The number and variety of IoT devices are sharply increasing, and as they do, they generate significant data sources. Deep learning (DL) algorithms are increasingly integrated into IoT applications to learn and infer patterns and make intelligent decisions. However, current IoT paradigms rely on centralized storage and computing to operate the DL algorithms. This key central component can potentially cause issues in scalability, security threats, and privacy breaches. Federated learning (FL) has emerged as a new paradigm for DL…
Citation impact
- FWCI
- 37.60
- Percentile
- 100%
- References
- 171
Authors
5Topics & keywords
- Computer science
- Blockchain
- Scalability
- Computer security
- Internet of Things
- Variety (cybernetics)
- Analytics
- Data science