Deep-Learning-Based Device Fingerprinting for Increased LoRa-IoT Security: Sensitivity to Network Deployment Changes. (arXiv:2208.14964v1 [cs.LG])

Deep-learning-based device fingerprinting has recently been recognized as a
key enabler for automated network access authentication. Its robustness to
impersonation attacks due to the inherent difficulty of replicating physical
features is what distinguishes it from conventional cryptographic solutions.
Although device fingerprinting has shown promising performances, its
sensitivity to changes in the network operating environment still poses a major
limitation. This paper presents an experimental framework that aims to study
and overcome the sensitivity of LoRa-enabled device fingerprinting to such
changes. …

deployment device fingerprinting iot iot security lora network security