| 1 | An area based physical layer authentication framework to detect spoofing attacks显示文摘In this paper,we propose an area-oriented authentication framework,which aims to provide a light-weight first authentication by reducing the complexity in acquiring and maintaining many different reference vectors as in the traditional one-by-one authentication framework.Under the proposed framework,we first derive the missing detection probability and the false alarm probability,respectively.Then we quantitatively evaluate the average risks that a spoofer is successfully detected or a legitimate user is falsely alarmed,at any position in a certain area.And correspondingly three kinds of areas are defined as the clear area where the spoofers prefer not to attack,the danger area where the spoofers have pretty high probabilities to attack successfully,and the warning area where the legitimate users are much likely to be falsely reported as attackers.These results depict the security situation distribution of a region,and provide useful insights for network operators to take proper following strategies.Finally,simulations are given to verify our analytical derivations and show the impacts of system parameters. | Na LI Shida XIA Xiaofeng TAO Zhiyuan ZHANG Xiaohui WANG | 2020 | Science China(Information Sciences)2020，63，12： | 1 |
| 2 | Physical layer authentication in UAV-enabled relay networks based on manifold learning显示文摘An unmanned aerial vehicle(UAV)relay network is a promising solution in the next-generation wireless networks due to its high capacity and unlimited geography.However,because of the openness of wireless channels and UAV mobility,it is remarkably challenging to guarantee the secure access of UAV relay.In this paper,we investigate the physical layer authentication(PLA)to verify the identity of the UAV relay for preventing unauthorized access to users’information or network service.Unlike most existing PLA methods for UAV,the proposed PLA scheme fully considers the time-varying of physical layer attributes caused by UAV mobility,and transforms the authentication problem into recognizing nonlinearly separable physical layer data.Particularly,we propose a manifold learning-based PLA scheme that can authenticate the mobile UAV relay in real time by establishing the local correlation of physical layer attributes.The Markov chain of physical layer data in the time domain is established to evaluate UAV state transition probability through the proposed diffusion map algorithm.The legitimate UAV and spoofing attackers can always be authenticated by the different motion states.Performance analysis offered a comprehensive understanding of the proposed scheme.Extensive simulations confirm that the performance of the proposed scheme improves over 18%in resisting the intelligent spoofing UAV compared with the traditional methods. | Shida XIA Xiaofeng TAO Na LI Shiji WANG Jin XU | 2022 | Science China(Information Sciences)2022，65，12： | 0 |
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