AI-embedded IoT healthcare optimization with trust-aware mobile edge computing
Malak Alamri, Khalid Haseeb, Mamoona Humayun, Menwa Alshammeri · 2025
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Description
Malak Alamri and three co-authors propose a trust aware edge computing model for connected healthcare. Sensors and wearable devices stream physiological data for monitoring and diagnosis, and edge computing cuts response time. Battery powered devices have limited resources, though, and malicious devices on the network can corrupt accuracy and reliability.
Their Edge-Cloud Trusted Intelligence model lowers computing overhead on devices. Multi level security protects privacy by adopting trusted behavior when devices communicate in a distributed setting. The design targets personalized healthcare systems that must stay responsive under diverse network conditions. Trust checks aim to keep suspicious processes from degrading medical decisions that depend on the data streams.
Catalog record
| CREATOR | Malak Alamri, Khalid Haseeb, Mamoona Humayun, Menwa Alshammeri |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 84 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |