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arXiv 2022年

作者： Li, Yang Hu, Jinlong Ma, Li Huang, Wei Zhang, Shuai Luo, Yujie Zhou, Chuang Zhang, Chenlin Wang, Heng Pan, Yan Shao, Yun Zhang, Yichen Chen, Xing Chen, Ziyang Yu, Song Guo, Hong 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 State Key Laboratory Of Advanced Optical Communication Systems And Networks Department Of Electronics Center For Quantum Information Technology Peking University Beijing100871 China

Two-way fiber-optic time transfer is a promising precise time synchronization technique with sub-nanosecond accuracy. However, asymmetric delay attack is a serious threat which cannot be prevent by any encryption method. In this paper, a dynamic model based scheme is proposed to defense the sub-nanosecond asymmetric delay attack. A threshold is set according to the estimated time difference by a two-state clock model where the fixed frequency difference is excluded from the time difference to detect the asymmetric delay attack which is smaller than the time difference induced by the fixed frequency difference. Theoretical simulation and experimental demonstration are implemented to prove the feasibility of the scheme. A two-way fiber-optic time transfer system with time stability with 24.5ps, 3.98ps, and 2.95ps at 1s, 10s, and 100s averaging time is shown under sub-ns asymmetric time delay attack experimentally. The proposed method provides a promising secure sub-ns precise time synchronization technique against asymmetric delay attack. Copyright © 2022, The Authors. All rights reserved.

关键词： Cryptography

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Clutter classification for cognitive radar with a deep convolutional neural network 5

Clutter classification for cognitive radar with a deep convo...

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IET International Radar Conference 2020, IET IRC 2020

作者： Peng, Xiaoyan Tian, Yong Wang, Peng Yu, Junpeng Ren, Weiyi School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Science and Technology on Electronic Information Control Laboratory Chengdu China

ISBN: (纸本)9781839535635

Nowadays, the electromagnetic environment of radar is complex and changeable, and the traditional algorithm is no longer effective to the situation. Hence, it is difficult for radar to have better performance. In this paper, a clutter classification method for cognitive radar with a deep convolution neural network is proposed to solve the problems. Firstly, the dynamic environment information and static environment information are processed. The VGG-16 network and Bi-LSTM are used to realize the feature extraction and fusion of comprehensive environmental information. Finally, the clutter classification is achieved, so that the detection and tracking performance of cognitive radar can be improved with knowledge assistance. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Clutter (information theory)

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CLPVG: Circular limited penetrable visibility graph as a new network model for time series

arXiv

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arXiv 2021年

作者： Xuan, Qi Zhou, Jinchao Qiu, Kunfeng Xu, Dongwei Zheng, Shilian Yang, Xiaoniu Institute of Cyberspace Security Zhejiang University of Technology Hangzhou310023 China College of Information Engineering Zhejiang University of Technology Hangzhou310023 China Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China

Visibility Graph (VG) transforms time series into graphs, facilitating signal processing by advanced graph data mining algorithms. In this paper, based on the classic Limited Penetrable Visibility Graph (LPVG) method, we propose a novel nonlinear mapping method named Circular Limited Penetrable Visibility Graph (CLPVG). The testing on degree distribution and clustering coefficient on the generated graphs of typical time series validates that our CLPVG is able to effectively capture the important features of time series and has better anti-noise ability than traditional LPVG. The experiments on real-world time-series datasets of radio signal and electroencephalogram (EEG) also suggest that the structural features provided by CLPVG, rather than LPVG, are more useful for time-series classification, leading to higher accuracy. And this classification performance can be further enhanced through structural feature expansion by adopting Subgraph Networks (SGN). All of these results validate the effectiveness of our CLPVG model. Copyright © 2021, The Authors. All rights reserved.

关键词： Time series

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Learning Fair and Efficient Multiple Access Schemes with Decomposed MADDPG

Learning Fair and Efficient Multiple Access Schemes with Dec...

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Future communications and Networks (FCN), International Conference on

作者： Zhaoyang Liu Haoxin Lin Xijun Wang Jie Gong Xiang Chen School of Electronics and Information Technology Sun Yat-sen University Guangzhou China Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing Guilin China State Key Lab of Novel Software Technology Nanjing University Nanjing China Guangdong Key Laboratory of Information Security Technology School of Computer Science and Engineering Sun Yat-sen University Guangzhou China

ISBN: (数字)9798350396034

ISBN: (纸本)9798350396041

With the growing demand for wireless communication networks, achieving efficient and equitable channel access schemes has become paramount. In this paper, we delve into the realm of distributed channel access in homogeneous wireless networks, focusing on both fairness and efficiency. We introduce a media access control protocol, named Fair and Efficient Multiple Access (FEMA), by leveraging decomposed Multi-Agent Deep Deterministic Policy Gradient (MADDPG). FEMA decouples the dual objectives into self-oriented efficiency reward and team-oriented fairness reward. Correspondingly, local critic networks and global critic networks target self-oriented reward and team-oriented reward, respectively. Extensive simulations demonstrate FEMA’s superiority over conventional MAC protocols and other multiple access techniques based on deep reinforcement learning, showcasing its ability to simultaneously enhance fairness and efficiency.

关键词： Protocols Wireless networks Focusing Media Access Protocol Dynamic scheduling Deep reinforcement learning Resource management

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High-throughput decoder of quasi-cyclic LDPC codes with limited precision for continuous-variable quantum key distribution systems

arXiv

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arXiv 2022年

作者： Zhou, Chuang Li, Yang Ma, Li Yang, Jie Huang, Wei Wang, Heng Luo, Yujie Lau, Francis C.M. Li, Yong Xu, Bingjie Science and Technology on Communication Security Laboratory Institute of Southwestern Communication Chengdu610041 China Department of Electronic and Information Engineering The Hong Kong Polytechnic University Hong Kong College of Computer Science Chongqing University Chongqing400044 China

More than Mbps secret key rate was demonstrated for continuous-variable quantum key distribution (CV-QKD) systems, but real-time postprocessing is not allowed, which is restricted by the throughput of the error correction decoding in postprocessing. In this paper, a high-throughput FPGA-based quasi-cyclic LDPC decoder is proposed and implemented to support Mbps real-time secret key rate generation for CV-QKD for the first time. A residual bit error correction algorithm is used to solve the problem of high frame errors rate (FER) caused by the limited precision of the decoder. Specifically, real-time high-speed decoding for CV-QKD systems with typical code rates 0.2 and 0.1 is implemented on a commercial FPGA, and two throughputs of 360.92Mbps and 194.65Mbps are achieved, respectively, which can support 17.97 Mbps and 2.48 Mbps real-time generation of secret key rates under typical transmission distances of 25km and 50km, correspondingly. The proposed method paves the way for high-rate real-time CV-QKD deployment in secure metropolitan area network. Copyright © 2022, The Authors. All rights reserved.

关键词： Field programmable gate arrays (FPGA)

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SComplex: Advancing Specific Emitter Identification Through Deep Spiking Complex Neural Networks Beyond Traditional Lightweight Approaches

SComplex: Advancing Specific Emitter Identification Through ...

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IEEE International Conference on communications in China (ICCC)

作者： Naiyu Zhang Yabin Zhang Congan Xu Wei Zhang Haoran Zha Yu Han Qiao Tian Zeyu Tang Advanced Technology Research Institute Beijing Institute of Technology Jinan China College of Information and Communication Engineering Harbin Engineering University Harbin China Naval Aeronautical University Yantai China National Key Laboratory of Electromagnetic Space Security Chengdu Sichuan China College of computer science Harbin Engineering University Harbin China

ISBN: (数字)9798350378412

ISBN: (纸本)9798350378429

Specific emitter identification (SEI), pivotal in military communication reconnaissance and electronic warfare, also plays a crucial role in civilian spectrum management. Traditional deep neural network methodologies for radiation source recognition face challenges including extended training durations, substantial energy demands, and minimal computational sparsity. In response, this study introduces an advanced deep spiking complex neural network model, leveraging the intrinsic properties of complex data for enhanced expressive power. This model incorporates a binary spike neural layer, significantly optimizing computational efficiency and reducing hardware resource requirements. The efficacy of this model is verified through the application to a real-world ADS-B signal dataset, where it demonstrates superior recognition accuracy of 89%, surpassing conventional lightweight frameworks such as ShuffleNet and MobileNet in parameter efficiency and inference speed.

关键词： Accuracy Computational modeling Biological system modeling Face recognition Neurons Transfer learning Artificial neural networks

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Protecting the Data Plane of SDN From Malicious Flow Entries Based on P4 1st

Protecting the Data Plane of SDN From Malicious Flow Entries...

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1st International Conference on security and Privacy in Digital Economy, SPDE 2020

作者： Zhi, Yifang Yang, Li Yang, Gaolei Zhang, Yuehong Science and Technology on Communication Information Security Control Laboratory Jiaxing China Xidian University Xi’an China PLA Air Force Xi’an Flight Academy Xi’an China

ISBN: (纸本)9789811591280

In Software-defined network (SDN), the switching devices on the data plane rely on the flow entries issued by controllers to forward packets. Therefore, the correctness of flow entries becomes critical. However, the lack of security mechanism in SDN architecture makes the packet forwarding on the data plane easy to be damaged by malicious flow entries. In this paper, we argue that a malicious controller can easily issue malicious flow entries to hinder packets from being forwarded correctly on the data plane. We present a scheme based on P4 to detect and locate malicious flow entries on the data plane. Moreover, we implement the prototype of our scheme and extensive experiments to show that the proposed scheme can prevent malicious flow entries from damaging the packet forwarding of the data plane with trivial overheads. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Flow entry Malicious detection P4 SDN

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Geomagnetic Matching Combined Navigation Based on Improving Operation Efficiency of DTW Algorithm

Geomagnetic Matching Combined Navigation Based on Improving ...

引用

International Conference on Electronic Measurement and Instruments, ICEMI

作者： Gang Huo Junna Shang Dongli Zhang Yiteng Wang Science and Technology on Communication Information Security Control Laboratory No.36 Research Institute of China Electronics Technology Group Corporation Hangzhou Dianzi University HangZhou Zhejiang Hangzhou Dianzi University HangZhou Zhejiang Science and Technology on Communication Information Security Control Laboratory No.36 Research Institute of China Electronics Technology Group Corporation Jiaxing Zhejiang

ISBN: (纸本)9781665444927

Aiming at the problem of “singularity” generated by the traditional DTW matching algorithm, the DDTW matching algorithm is used to match the geomagnetic sequence, and the first derivative of the sequence is compared for matching, and the Itakura window is used as a constraint to restrict the search range. In order to improve the overall positioning effect, a combination of inertial navigation and geomagnetism is used for navigation, and Kalman filtering is used to fuse the positioning results. Experimental results show that when the matching window is 60, the average positioning error of the system using the improved DDTW matching algorithm is within 1.37m. Compared with the system using the DTW matching algorithm, the average positioning error is reduced by 0.59m and effectively improved Computing efficiency.

关键词： Geomagnetism Filtering Fuses Heuristic algorithms Instruments Inertial navigation Aerospace electronics

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Research on PDCCH Channel in 5G NR System

Research on PDCCH Channel in 5G NR System

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International Conference on Networking and Network Applications (NaNA)

作者： Liang Tianyi Zhu Huijie Science and Technology on Communication Information Security Control Laboratory Jiaxing China No. 36 Research Institute of China Electronics Technology Group Corporation Jiaxing China

In the 5th Generation Mobile communication technology (5G) system, physical downlink control channel (PDCCH) controls the transmission and reception of uplink and downlink data by transmitting Downlink control information (DCI), which is the core of the physical channel control of the 5G system. Obtain the DCI information to obtain the uplink and downlink scheduling information of the signal, thereby providing more possibilites for effectively interfering with the mobile signal. In this paper, by studying the signal transmitting end, the corresponding resource demapping, deinterleaving, decoding and other algorithms are used to realize the full link processing of the receiving end and obtain DCI information. The actual 5G signal collected is processed, which verifies the reliability and accuracy of the algorithm.

关键词： 5G mobile communication Receivers Interference Downlink Scheduling Decoding Reliability

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Heterogeneous influence of individuals’ behavior on mask efficacy in gathering environments

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Frontiers of Engineering Management 2022年第4期9卷 550-562页

作者： Haochen SUN Xiaofan LIU Zhanwei DU Ye WU Haifeng ZHANG Xiaoke XU College of Information and Communication Engineering Dalian Minzu UniversityDalian 116600China Web Mining Laboratory Department of Media and CommunicationCity University of Hong KongHong KongChina WHO Collaborating Centre for Infectious Disease Epidemiology and Control School of Public HealthLi Ka Shing Faculty of MedicineThe University of Hong KongHong KongChina Laboratory of Data Discovery for Health Hong Kong Science and Technology ParkHong KongChina Computational Communication Research Center Beijing Normal University(Zhuhai)Zhuhai 519087China School of Journalism and Communication Beijing Normal UniversityBeijing 100875China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Mathematical ScienceAnhui UniversityHefei 230601China

Wearing masks is an easy way to operate and popular measure for preventing *** masks can slow down the spread of viruses,their efficacy in gathering environments involving heterogeneous person-to-person contacts remains ***,we aim to investigate the epidemic prevention effect of masks in different real-life gathering *** study uses four real interpersonal contact datasets to construct four empirical networks to represent four gathering *** transmission of COVID-19 is simulated using the Monte Carlo simulation *** heterogeneity of individuals can cause mask efficacy in a specific gathering environment to be different from the baseline efficacy in general ***,the heterogeneity of gathering environments causes the epidemic prevention effect of masks to *** masks can greatly reduce the probability of clustered epidemics and the infection scale in primary schools,high schools,and ***,the use of masks alone in primary schools and hospitals cannot control *** high schools with social distancing between classes and in workplaces where the interpersonal contact is relatively sparse,masks can meet the need for *** the heterogeneity of individual behavior,if individuals who are more active in terms of interpersonal contact are prioritized for mask-wearing,the epidemic prevention effect of masks can be ***,asymptomatic infection has varying effects on the prevention effect of masks in different *** effect can be weakened or eliminated by increasing the usage rate of masks in high schools and ***,the effect on primary schools and hospitals cannot be *** study contributes to the accurate evaluation of mask efficacy in various gathering environments to provide scientific guidance for epidemic prevention.

关键词： COVID-19 masks behavioral heterogeneity asymptomatic infection

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