An Area Description Framework for Physical Layer Authentication

An area based physical layer authentication framework to detect spoofing attacks

“…The other strategy is that the spoofer jams the transmission of the victim user and compels the destination to accept the spoofing message as legitimate. In our previous work [30], we have studied the former case. In this paper, we consider both situations with an emphasis on the latter one.…”

“…where Y |h A | 2 follows a distribution with the probability density function (PDF) f Y (y). If Rayleigh fading 3) is assumed, the channels are independent complex Gaussian variables, i.e., Y ∼ χ 2 2 , where χ 2 2 denotes the chi-square distribution with the degree of two, and the corresponding PDF and cumulative density function (CDF) are e −y and 1 − e −y , respectively, and then p 1 can be calculated as [30]…”

“…The closed-form expression for R A can be straightforwardly derived using similar integrals as in ( 9) [30]. In this paper, we omit this result owing to the space limitation.…”

“…This transmission can be viewed as legitimate only when r o r L r i , and the corresponding successful probability is defined as p 3 Pr{r o r L r i }. Similarly, by assuming X |h A | 2 ∼ χ 2 2 , p 3 can be calculated by [30]…”

“…This study provides an important first authentication, after which further authentications can be added as necessary. In our previous work [30], we first considered a simple scenario where the spoofer attacks a silent user. In this paper, we further consider a practical case that the spoofer tries to force the destination to accept its spoofing messages even when the victim user is also active.…”