AlexNet-based Visible light communication devices fingerprint extraction and authentication in broadcast systems

Abstract

Visible Light Communication (VLC) is one of technology for the sixth generation (6G) wireless communication and also broadcast system. VLC systems are more resistant against Radio Frequency interference and unsusceptible to security like most RF wireless networks. Since VLC is one of suitable candidate for enforcing data security in future wireless networks. This paper considers improving the security of the next generation of wireless communications by using wireless device fingerprints in visible light communication, which could be used potentially for ATSC broadcasting applications. In particular, we aim to provide a detailed proposal for developing novel wireless security solutions using Visible light communication device fingerprinting techniques. The objectives are two-fold: (1) to provide a systematic review of AI-based wireless device fingerprint identification method and (2) to identify VLC transmitter, with respect to the ATSC physical layer modulation scheme, by analysing the differences in the modulated constellations signaled received by photo-diode, which will be proved by laboratory experimentation.

LED fingerprint recognition method based on transformer self-attention mechanism

“…They proposed a visible light communication device fingerprint recognition method based on Alexnet, tested under different environments and communication distances, with an average accuracy of 98.25%. 6 Toh et al employed a method combining LEDs with a spectrometer to identify LEDs with the same part number, achieving a 99% accuracy. 7 These studies demonstrate the feasibility of fingerprint-based optical communication technology.…”