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IEEE International Conference on communications in China Workshops (ICCC)

作者： Xuguo Jiao Hao Luo Liuyang Jiang Lin Wang Xin Wang Zuqiang Huang State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China School of Information and Control Engineering Qingdao University of Technology Qingdao China Zhejiang Windey Co. Ltd. Hangzhou China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Shandong Academy of Sciences Qilu University of Technology Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China School of Civil Engineering Zhengzhou University Zhengzhou China

ISBN: (数字)9798350377675

ISBN: (纸本)9798350377682

Recently, offshore wind power has rapidly developed due to its low environmental interference and abundant wind resources. However, due to its remote geographical location and high demand for communication infrastructure, off-shore wind turbines (OWTs) are vulnerable to potential threats from false data injection (FDI) attack. FDI attack can interfere with active power control strategies by tampering with the rotor speed data measured by sensors and pose a threat to the stability of the power grid. To ensure that OWTs can accurately track the active power instructions set by wind farm's control center under FDI attack, this paper proposes a rotor speed control (RSC) strategy based on Kalman filtering technology (RSC- KF). This strategy can estimate the rotor speed of the wind turbine in real-time, and then a residual detection and compensation mechanism is designed to effectively detect and correct attacked rotor speed information caused by FDI attack. Further, based on the corrected rotor speed, the RSC method is developed, which can flexibly switch control strategies according to different rotor speed values, ensuring the efficient operation of OWTs under different wind speed conditions. The proposed approach's effectiveness is proved via simulations conducted on the OpenFAST platform.

关键词： Filtering Velocity control Power control Rotors Power system stability Stability analysis Real-time systems Wind turbines Kalman filters Cyberattack

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ASTARS Aided NOMA Covert communication Networks

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IEEE Transactions on Vehicular technology 2025年

作者： Yue, Xinwei Song, Xinlong Zhao, Jingjing Huang, Chongwen Jin, Hongxu Xiang, Wei Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing102206 China Beijing Information Science and Technology University Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing102206 China Beihang University School of Electronic and Information Engineering Beijing100191 China Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China Xidian University State Key Laboratory of Integrated Service Networks Xi'an710071 China Hangzhou310027 China Zunyi Normal University School of Information Engineering Zunyi563006 China La Trobe University School of Computing Engineering and Mathmatical Sciences MelbourneVIC3086 Australia

The active simultaneously transmitting and reflecting surface (STARS) has been proposed as a complement of passive STARS (PSTARS) to inhibit the double path-loss. This paper applies the active STARS (ASTARS) to aid in non-orthogonal multiple access (NOMA) covert communications over cascaded rice fading channels, where two wardens are located on the opposite sides of ASTARS to monitor the transmission information. More specifically, we derive approximate expressions for detection error probability of two wardens. The optimal detection threshold and minimum detection error probability are presented in the worst covert scenarios. The covert transmission rate expressions for a coupe of covert users are further deduced by taking into account imperfect/perfect successive interference cancellation. The experimental simulation results are presented to confirm that: 1) The detection error probability of ASTARS-NOMA networks is superior to that of ASTARS assisted-orthogonal multiple access (ASTARS-OMA) and PSTARS aided NOMA networks;2) As the number of active elements increases, the covert transmission rates of ASTARS-NOMA networks become larger relative to ASTARS-OMA;and 3) ASTARS-NOMA has ability to provide the enhanced system throughput in delay-tolerant transmission mode. © 2025 IEEE.

关键词： Fading channels

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Fault Attack of SMS4 Based on Internal Collisions 4

Fault Attack of SMS4 Based on Internal Collisions

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2019 4th International Seminar on Computer technology, Mechanical and Electrical Engineering, ISCME 2019

作者： Zhu, Renjie Ou, Qingyu Luo, Fang Department of Information Security Naval University of Engineering Science and Technology on Communication Security Laboratory Wuhan Hubei430000 China

A fault attack of SMS4 based on internal collision is proposed. The method assumes that the attacker can attack under the condition of selecting plaintext, and adopts the byte-oriented random fault model to successfully recover the original key by injecting the fault in the first few rounds of the encryption algorithm of the SMS4. Theoretical analysis and experimental results show that the 60 fault injections can successfully recover the original key of the SMS4, with a probability of over 99%. If the attacker can control the location of fault injection, then only 16 fault injections are needed to successfully recover the original key of the SMS4. In general, 30 to 40 fault injections can successfully restore the original key. © Published under licence by IOP Publishing Ltd.

关键词： Software testing

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Sub-Mbps key-rate continuous-variable quantum key distribution with local-local-oscillator over 100 km fiber

arXiv

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arXiv 2022年

作者： Pi, Yaodi Wang, Heng Pan, Yan Shao, Yun Li, Yang Yang, Jie Zhang, Yichen Huang, Wei Xu, Bingjie Science and Technology on Communication Security Laboratory Institute of Southwestern Communication Chengdu610041 China State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China

We experimentally demonstrated a sub-Mbps key rate Gaussian-modulated coherent-state continuous-variable quantum key distribution (CV-QKD) over 100 km transmission distance. To efficiently control the excess noise, the quantum signal and the pilot tone are co-transmitted in fiber channel based on wide-band frequency and polarization multiplexing methods. Furthermore, a high-accuracy data-assisted time domain equalization algorithm is carefully designed to compensate the phase noise and polarization variation in low signal-to-noise ratio. The asymptotic secure key rate (SKR) of the demonstrated CV-QKD is experimentally evaluated to be 10.36 Mbps, 2.59 Mbps, and 0.69 Mbps over transmission distance of 50 km, 75 km, and 100 km, respectively. The experimental demonstrated CV-QKD system significantly improves transmission distance and SKR compared to the state-of-art GMCS CV-QKD experimental results, and shows the potential for long-distance and high-speed secure quantum key distribution. © 2022, CC BY.

关键词： Quantum cryptography

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Improved GNSS-IR height measurement method based on locally weighted regression

Improved GNSS-IR height measurement method based on locally ...

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9th International Symposium on Test Automation & Instrumentation (ISTAI 2022)

作者： Z. Luo J. Shang F. Li R. Pang Y. Wang College of Telecommunication Engineering Hangzhou Dianzi University Hangzhou 310018 People's Republic of China Science and Technology on Communication Information Security Control Laboratory Jiaxing 314033 People's Republic of China

Global Navigation Satellite System Interferometric reflectance measurement (GNSS-IR) is a new remote sensing technology which uses satellite reflectance signals for monitoring. Aiming at the problems that the current GNSS-IR altimetry in land scenes is rarely applied and the accuracy of the traditional method is low under the reflection surface with high roughness, the traditional GNSS-IR altimetry is improved based on the local weighted regression method. A general navigation receiver method is proposed here, and does not need to use expensive special receiver or geodesic receiver. The local weighted regression method is used to separate the reflected signals to solve the problem of low local fitting accuracy of traditional methods when dealing with complex SNR changes in land scenes. The normalized Lomb-Scargle is used for spectrum analysis to improve the stability when there are few valid observations. The simulation and test results show that the proposed method has a significant improvement in the measurement accuracy compared with the traditional GNSS-IR method in the high-roughness ground scene. The single satellite measurement accuracy can reach within 10cm, and the root mean square error of the dual-frequency and multi-satellite combined altimetry measurement result is 2.62cm.

关键词： height measurement mean square error methods radio receivers regression analysis remote sensing satellite navigation

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Tensor and Minimum Connected Dominating Set based Confident information Coverage Reliability Evaluation for IoT

IEEE Transactions on Sustainable Computing

引用

IEEE Transactions on Sustainable Computing 2024年第03期10卷 547-561页

作者： Xiao, Ziheng Zhu, Chenlu Feng, Wei Liu, Shenghao Deng, Xianjun Lu, Hongwei Yang, Laurence T. Park, Jong Hyuk Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Huazhong University of Science and Technology Hubei Wuhan430074 China Artificial Intelligence and Intelligent Transportation Joint Technical Center of HUST and Hubei Chutian Intelligent Transportation Company Ltd United States Network and Industrial Control Information Security Technology Department China Nuclear Power Operation Technology Company Ltd. 1011 Xiongchu Avenue Hubei Wuhan430070 China The Department of Computer Science and Engineering Seoul National University of Science and Technology Seoul01811 Korea Republic of

Internet of Things (IoT) reliability evaluation contributes to the sustainable computing and enhanced stability of the network. Previous algorithms usually evaluate the reliability of IoT by enumenating the states of nodes and networks, which are difficult to handle IoT with hundreds of nodes because the computational cost. In this paper, a novel algorithm, TMCRA, is proposed to evaluate the reliability of IoT in complex network environment, which consider both coverage and connectivity. For coverage, TMCRA employs the Confident information Coverage (CIC) model to divide the target area into independent grids and calculates the coverage rate. In terms of connectivity, TMCRA forming the Virtual Backbone Network (VBN) based on two proposed methods: TMA and MGIN, and evaluate connectivity by analyzing the VBN rather than the whole network. The TMA and MGIN are two algorithms for constructing Minimum Connected Dominant Sets (MCDS), which are suitable for different scale networks. Finally, based on the data of coverage and connectivity, TMCRA utilizes tensors for the unified modeling and representation of network structure, and calculates IoT reliability based on the tensors. Simulations are carried out for various sizes of IoT to show the advantages and effectiveness of the proposed approach in reliability evaluation. © 2016 IEEE.

关键词： Data reliability

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The Meta Distribution of SINR in UAV-Assisted Cellular Networks

arXiv

引用

arXiv 2023年

作者： Shi, Minwei Yang, Kai Niyato, Dusit Yuan, Hang Zhou, He Xu, Zhan The School of Information and Electronics Beijing Institute of Technology Beijing100081 China The School of Cyberspace Science and Technology Beijing Institute of Technology Beijing100081 China The School of Computer Science and Engineering Nanyang Technological University 639798 Singapore The Key Laboratory of Modern Measurement and Control Technology Beijing Information Science and Technology University Beijing100101 China The School of Information and Communication Engineering Beijing Information Science and Technology University Beijing100101 China

Mounting compact and lightweight base stations on unmanned aerial vehicles (UAVs) is a cost-effective and flexible solution to provide seamless coverage on the existing terrestrial networks. While the coverage probability in UAV-assisted cellular networks has been widely investigated, it provides only the first-order statistic of signal-to-interference-plus-noise ratio (SINR). In this paper, to analyze high-order statistics of SINR and characterize the disparity among individual links, we provide a meta distribution (MD)-based analytical framework for UAV-assisted cellular networks, in which the probabilistic line-of-sight channel and realistic antenna pattern are taken into account for air-to-ground transmissions. To accurately characterize the interference from UAVs, we relax the widely applied uniform off-boresight angle (OBA) assumption and derive the exact distribution of OBA. Using stochastic geometry, for both steerable and vertical antenna scenarios, we obtain mathematical expressions for the moments of condition success probability, the SINR MD, and the mean local delay. Moreover, we study the asymptotic behavior of the moments as network density approaches infinity. Numerical results validate the tightness of the theoretical results and show that the uniform OBA assumption underestimates the network performance, especially in the regime of moderate altitude of UAV. We also show that when UAVs are equipped with steerable antennas, the network coverage and user fairness can be optimized simultaneously by carefully adjusting the UAV parameters. Copyright © 2023, The Authors. All rights reserved.

关键词： Directional patterns (antenna)

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Energy Efficiency Optimization of IRS-Aided Multiuser MISO Underlay EH-CR communication Systems By Using PER-SD3 Method

引用

IEEE Transactions on Cognitive communications and Networking 2025年

作者： Wang, Jun Pei, Hai Yang, Liang Hu, Jinsong Wu, Liang Shu, Feng Fuzhou University College of Electrical Engineering and Automation Fuzhou350108 China Fuzhou University Mechanical and Electrical Engineering Practice Center Fuzhou350108 China Fuzhou University College of Physics and Information Engineering Fuzhou China Southeast University National Mobile Communications Research Laboratory Frontiers Science Center for Mobile Information Communication and Security Nanjing210006 China Hainan University School of Information and Communication Engineering Haikou570228 China Nanjing University of Science and Technology School of Electronic and Optical Engineering Nanjing210094 China

With the increasing demand of wireless communication, the data rates supported by wireless communication technology are required to be higher, which also leads to the shortage of spectrum resources. Cognitive radio (CR) is considered a promising technology that can make full use of spectrum resources. Currently, Intelligent Reflecting Surfaces (IRSs) are gaining popularity. They autonomously regulate the wireless communication environment to achieve higher data rates and better coverage. In this paper, an IRS-based model is proposed to solve the energy efficiency (EE) optimization problem, which is in multiuser multiple input single output (MISO) energy harvesting CR (EH-CR) communication systems. The model enables the secondary transmitter (ST) to utilize EH technology to capture radio frequency (RF) energy from the primary user (PU), thereby powering its own data transmission. Due to the complexity and continuity of action and state space, a softmax deep double deterministic policy gradients method based on prioritized experience replay (PER-SD3) is designed to jointly optimize the transmission beamforming vector of the ST and the IRS reflection phase shift matrix. Simulation results show that the proposed method can improve the EE of underlay EH-CR communication systems by 35.3% at most compared with the benchmark cases. © 2015 IEEE.

关键词： Cognitive radio

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FlexEdge: Digital Twin-Enabled Task Offloading for UAV-Aided Vehicular Edge Computing

arXiv

引用

arXiv 2023年

作者： Li, Bin Xie, Wancheng Ye, Yinghui Liu, Lei Fei, Zesong Nanjing University of Information Science and Technology Nanjing210044 China The Shaanxi Key Laboratory of Information Communication Network and Security Xi'an University of Posts & Telecommunications Xi’an710121 China The Guangzhou Institute of Technology Xidian University Guangzhou510555 China The School of Information and Electronics Beijing Institute of Technology Beijing100081 China

Integrating unmanned aerial vehicles (UAVs) into vehicular networks have shown high potentials in affording intensive computing tasks. In this paper, we study the digital twin driven vehicular edge computing networks for adaptively computing resource management where an unmanned aerial vehicle (UAV) named FlexEdge acts as a flying server. In particular, we first formulate an energy consumption minimization problem by jointly optimizing UAV trajectory and computation resource under the practical constraints. To address such a challenging problem, we then build the computation offloading process as a Markov decision process and propose a deep reinforcement learning-based proximal policy optimization algorithm to dynamically learn the computation offloading strategy and trajectory design policy. Numerical results indicate that our proposed algorithm can achieve quick convergence rate and significantly reduce the system energy consumption. © 2023, CC BY.

关键词： Computation offloading

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Power Internet of Things security Evaluation Method Based on Fuzzy Set Theory 15th

Power Internet of Things Security Evaluation Method Based on...

引用

15th International Conference on Genetic and Evolutionary Computing, ICGEC 2023

作者： Wang, Yuman Wu, Hongbin Wang, Yilei Wang, Zixiang Zhu, Xinyue Qian, Kexiang SGRI Power Grid Digitizing Technology Department State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology State Grid Smart Grid Research Institute Co. Ltd. Beijing102200 China Internet Technology Center State Grid Zhejiang Electric Power Co. Ltd. Research Institute Hangzhou310000 China School of Computer Science Northeast Electric Power University Jilin Jilin City132012 China School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100000 China

ISBN: (纸本)9789819994113

Aiming at the problems of high fuzziness and low integrity of the current Power Internet of Things network security evaluation index system, the fuzzy set theory is used to evaluate the security issues of Power IoT terminal, protocol, strategy, business operation, business management, employee operation and user operation of the Power Internet of Things from two aspects of the Power Internet of Things itself and manpower, the fuzzy judgment matrix is constructed, and the weight of index items is determined by AHP. To establish a comprehensive and reasonable Power Internet of Things safety evaluation index system, overcome the shortcomings of single and quantitative analysis of Power Internet of Things network risk, and realize the determination of fuzzy index weight combining quantitative and qualitative, so as to improve the accuracy of Power Internet of Things safety evaluation. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Internet of things

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