Keywords
AI
Embedded systems
Categories
How to Cite
Abstract
This research implements an artificial intelligence (AI) model to protect an embedded system, represented by a mobile robot with a Raspberry Pi, against cyberattacks. The methodology includes system design, the development of a cyberattack test environment, and the integration of a lightweight AI model trained to detect and mitigate threats. The experiments evaluate the system’s effectiveness in detecting attacks, response time, and impact on the performance of resource-constrained hardware. The approach is validated for use in other embedded (IoT) devices, ensuring its viability in critical applications.
References
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