Implementations for IoT component recovery using neural networks
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Citation
Abstract
Devices in the Internet of Things are increasingly interdependent. As the number of
IoT devices grow, the potential for failure in at least one becomes increasingly significant.
When a process fails or is attacked, the system should be able to persist and then recover.
This thesis investigates the implementation of neural networks to assist in recovery by
acting for failed components. In addition, it permits the re-creation of the results achieved
in the joint paper.
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Attribution 4.0 International