Firmware Attestation in IoT Swarms Using Relational Graph Neural Networks and Static Random Access Memory

Firmware Attestation in IoT Swarms Using Relational Graph Neural Networks and Static Random Access Memory

The proliferation of Internet of Things (IoT) swarms—comprising billions of low-end interconnected embedded devices—has transformed industrial automation, smart homes, and agriculture. However, these swarms are highly susceptible to firmware anomalies that can propagate across nodes, posing serious...

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Bibliographic Details
Main Authors: Abdelkabir Rouagubi, Chaymae El Youssofi, Khalid Chougdali
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:AI
Subjects:
anomaly detection
internet of things (IoT)
IoT swarms
relational graph neural networks (RGNNs)
static random access memory (SRAM)
Online Access:https://www.mdpi.com/2673-2688/6/7/161
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