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Physical layer security is expected to address the security issue in wireless networks by taking advantage of the unique attributes of fading channels. In this paper, we propose a novel physical layer authentication scheme by measuring the locations of surrounding noise sources between communication participants. Typically, the transmitting power of surrounding noise is unknown, so a maximum likelihood (ML) method is adopted to estimate the locations of noise sources, based on the received signal strength (RSS) and angle of arrival (AoA). We analyze the security of the proposed scheme under both passive and active attacks, and show that the proposed scheme can work under highly dynamical scenarios.