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Reliable resource allocation with rf fingerprinting authentication in secure IoT networks

Science China(Information Sciences) 2022年第7期65卷 51-66页

作者： Weiwei WU Su HU Di LIN Gang WU National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China

The unprecedented growth of the Internet of Things(Io T) has led to a huge amount of wireless resource consumption in a network. Due to limited wireless resources, a network can only guarantee the quality of service(QoS) of authenticated users rather than that of all users. By acknowledging this limitation,we realise that user authentication would be a big issue in Io T networks. Although traditional authentication methods can enhance network security to a certain extent, their vulnerability to malicious attacks and the relevant complicated computations restrict Io T deployments. In this paper, a radio frequency(rf)fingerprinting based authentication scheme is proposed under the architecture of convolutional neural network(CNN). It can effectively prevent unauthenticated users from consuming valuable wireless resources and significantly improve QoS performance for legitimate users. By solving an NP-hard optimization problem with the objective of minimizing efficient energy density, we demonstrate an approximate optimal resource allocation scheme in consideration of an rf-fingerprinting based authentication process. The analytic results show that our proposed scheme can dramatically reduce the efficient energy density compared with traditional cryptography based authentication schemes.

关键词： user authentication Internet of things convolutional neural network rf fingerprinting NP-hard optimization problem

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Payload Symbol-Based Nonlinear rf Fingerprint for Wireless QPSK-OFDM Devices

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China Communications 2023年第6期20卷 240-248页

作者： Honglin Yuan Yan Yan Guoan Zhang Zhihua Bao School of Information Science and Technology Nantong UniversityNantong 226019China Nantong Research Institute for Advanced Communication Technologies Nantong 226019China

Radio Frequency(rf) fingerprinting is one physical-layer authentication method for wireless communication, which uses the unique hardware characteristic of the transmitter to identify its true *** improve the performance of rf Fingerprint(rfF)based on preamble with fixed duration, a nonlinear rf fingerprinting method based on payload symbols is proposed for the wireless OFDM communication with the bit mapping scheme of QPSK. The wireless communication system is modeled as a Hammerstein system containing the nonlinear transmitter and multipath fading channel. A parameter separation technique based on orthogonal polynomial is presented for the estimation of the parameters of the Hammerstein system. The Hammerstein system parameter separation technique is firstly used to estimate the linear parameter with the training signal, which is used to compensate the adverse effect of the linear channel for the demodulation of the successive payload symbols. The demodulated payload symbols are further used to estimate the nonlinear coefficients of the transmitter with the Hammerstein system parameter separation technique again, which is used as the novel rfF for the authentication of the QPSK-OFDM device. Numerical simulations have verified the proposed method, which can also be extended to the OFDM signals with other bit mapping schemes.

关键词： physical-layer authentication rf Fingerprint rf fingerprinting Hammerstein system parameter separation nonlinearity rfF spectrum sharing

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