A methodology to identify identical single-board computers based on hardware behavior fingerprinting. (arXiv:2106.08209v4 [cs.CR] UPDATED)

The connectivity and resource-constrained nature of single-board devices open
the door to cybersecurity concerns affecting Internet of Things (IoT)
scenarios. One of the most important issues is the presence of unauthorized IoT
devices that want to impersonate legitimate ones by using identical hardware
and software specifications. This situation can provoke sensitive information
leakages, data poisoning, or privilege escalation in IoT scenarios. Combining
behavioral fingerprinting and Machine/Deep Learning (ML/DL) techniques is a
promising approach to identify these malicious spoofing devices by …

board computers fingerprinting hardware identify single