Efficient Physical Layer Spoofing Detection with an Autoregressive Model


Ulger O. K., Demir M. O., Topal O. A., Karabulut Kurt G. Z., PUSANE A. E.

43rd International Conference on Telecommunications and Signal Processing (TSP), ELECTR NETWORK, 7 - 09 Temmuz 2020, ss.382-385 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/tsp49548.2020.9163441
  • Basıldığı Ülke: ELECTR NETWORK
  • Sayfa Sayıları: ss.382-385
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

The broadcast nature of the wireless medium makes it vulnerable to impersonation attacks. Traditionally, cryptographic techniques are used against these threats. However, these methods are computationally complex and demanding for lesser equipped devices. The randomness of the wireless channels can be exploited to achieve authentication at the physical layer. In this paper, we propose an efficient channel-based authentication rule to detect the presence of an illegal transmitter. We also build a hypothesis test and then develop an effective likelihood test. The performance of this method is analyzed by studying miss detection and false alarm rates under various parameters. We conclude that a spoofing detection strategy can be developed using adjacent channel coefficients.