Can Evil IoT Twins Be Identified? Now Yes, a Hardware Behavioral Fingerprinting Methodology. (arXiv:2106.08209v3 [cs.CR] UPDATED)

Web: http://arxiv.org/abs/2106.08209

The connectivity and resource-constrained nature of single-board devices
opens up to cybersecurity concerns affecting Internet of Things (IoT)
scenarios. One of the most important issues is the presence of evil IoT twins.
Evil IoT twins are malicious devices, with identical hardware and software
specifications to authorized ones, that 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 evil IoT twins by detecting …

fingerprinting hardware iot now