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Measurement-device-independent quantum key distribution of multiple degrees of freedom of a single photon

Frontiers of physics 2021年第1期16卷 131-141页

作者： Yu-Fei Yan Lan Zhou Wei Zhong Yu-Bo Sheng Institute of Quantum Information and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China Schoool of Science Nanjing University of Posts and TelecommunicationsNanjing 210003China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing 210003China

Measurement-device-independent quantum key distribution(MDI-QKD)provides us a powerful approach to resist all attacks at detection *** the unconditional security,people also seek for high key generation rate,but MDI-QKD has relatively low key generation *** this paper,we provide an efficient approach to increase the key generation rate of MDI-QKD by adopting multiple degrees of freedom(DOFs)of single photons to generate *** with other high-dimension MDI-QKD protocols encoding in one DOF,our protocol is more flexible,for our protocol generating keys in independent subsystems and the detection failure or error in a DOF not affecting the information encoding in other *** on above features,our MDI-QKD protocol may have potential application in future quantum comniunication field.

关键词： measurement-device-independent quantum key distribution polarization longitudinal-momentum key generation Tate

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Ghost edge detection based on HED network

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Frontiers of Optoelectronics 2022年第3期15卷 25-33页

作者： Shengmei Zhao Yifang Cui Xing He Le Wang Institute of Signal Processing and Transmission Nanjing University of Posts and Telecommunications(NUPT)Nanjing 210003China Key Lab of Broadband Wireless Communication and Sensor Network Technology(NUPT) Ministry of EducationNanjing 210003China

In this paper,we present an edge detection scheme based on ghost imaging(GI)with a holistically-nested neural *** so-called holistically-nested edge detection(HED)network is adopted to combine the fully convolutional neural network(CNN)with deep supervision to learn image edges *** data are used to train the HED network,and the unknown object’s edge information is reconstructed from the experimental *** experiment results show that,when the compression ratio(CR)is 12.5%,this scheme can obtain a high-quality edge information with a sub-Nyquist sampling ratio and has a better performance than those using speckle-shifting GI(SSGI),compressed ghost edge imaging(CGEI)and subpixel-shifted GI(SPSGI).Indeed,the proposed scheme can have a good signal-to-noise ratio performance even if the sub-Nyquist sampling ratio is greater than 5.45%.Since the HED network is trained by numerical simulations before the experiment,this proposed method provides a promising way for achieving edge detection with small measurement times and low time cost.

关键词： Edge detection Ghost imaging(GI) Holistically-nested neural network Compression ratio(CR) Signal-tonoise ratio(SNR)

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Research on DNS Resolution technology based on Blockchain

Research on DNS Resolution Technology based on Blockchain

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2023 China Automation Congress, CAC 2023

作者： Hu-Qing, Wang Zhi-Xin, Sun Ying-Jiao, Zhang Xu, Zhang Post Big Data Technology and Application Engineering Research Center of Jiangsu Province Nanjing University of Posts and Telecommunications Nanjing China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China School of Modern Posts Nanjing University of Posts and Telecommunications Nanjing China Aahui Yougu Express Intelligent Technology Co. Ltd Nanjing China

ISBN: (纸本)9798350303759

DNS completes the resolution of domain names to IP addresses, which is an effective means to realize various In-ternet applications, and is also an indispensable part of Internet infrastructure, playing an important role. However, the resolution efficiency and security of DNS have always been a hot spot in the industry. This study deeply discusses the principle of Blockchain-based DNS resolution and conducts extensive re-search on Blockchain-based DNS resolution schemes. Based on compatibility with traditional DNS, these schemes are divided into two categories: compatible and incompatible. For different scenarios, we conduct a detailed analysis and comparison, focusing on the technical characteristics and performance of each so-lution. Finally, the future research direction is looked forward to, and the full text is summarized. © 2023 IEEE.

关键词： Blockchain

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Outage Probability and Power Allocation Analysis of AmBC-Enabled NOMA for Future IoT 23

Outage Probability and Power Allocation Analysis of AmBC-Ena...

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23rd IEEE International Conference on communication technology, ICCT 2023

作者： Wang, Chongye Liu, Yang Wang, Cheng-Xiang School of Internet of Things Engineering Jiangnan University Wuxi214122 China Nanjing University of Posts and Telecommunications Ministry of Education Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing210023 China School of Information Science and Engineering Southeast University National Mobile Communications Research Laboratory Nanjing210096 China Purple Mountain Laboratories Nanjing211111 China

ISBN: (纸本)9798350325959

Ambient backscatter communication (AmBC) combined with non-orthogonal multiple access (NOMA) presents superior energy reusability and higher sum rate. However, existing studies failed to utilize the information of backscatter links. Therefore, to explore the impact of backscatter link, this paper employs three-user NOMA to improve the spectral efficiency. We propose a simple distance power allocation method to accomplish successive interference cancellation. Based on the Monte Carlo method, the outage probability of the proposal is analyzed. Our work provides a scheme for coexistence between AmBC and NOMA systems in the future Internet of Things. © 2023 IEEE.

关键词： Ambient backscatter communication non-orthogonal multiple access outage probability power allocation

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Tactile-assisted point cloud super-resolution

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Chinese Optics Letters 2025年第05期 52-61页

作者：沈浩然王普正鲁明张驰李剑王琴 Institute of Quantum Information and Technology Nanjing University of Posts and Telecommunications Broadband Wireless Communication and Sensor Network Technology Key Lab of Ministry of Education Nanjing University of Posts and Telecommunications

With the rapid advancement of three-dimensional(3D) scanners and 3D point cloud acquisition technology, the application of 3D point clouds has been increasingly expanding in various fields. However, due to the limitations of 3D sensors, the collected point clouds are often sparse and non-uniform. In this work, we introduce local tactile information into the point cloud super-resolution task to aid in enhancing the resolution of the point cloud using fine-grained local details. Specifically,the local tactile point cloud is denser and more accurate compared to the low-resolution point cloud. By leveraging tactile information, we can obtain better local features. Therefore, we propose a feature extraction module that can efficiently fuse visual information with dense local tactile information. This module leverages the features from both modalities to achieve improved super-resolution results. In addition, we introduce a point cloud super-resolution dataset that includes tactile information. Qualitative and quantitative experiments show that our work performs much better than existing similar works that do not include tactile information, both in terms of handling low-resolution inputs and revealing high-fidelity details.

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LQR Control Method based on Improved Antlion Algorithm 42

LQR Control Method based on Improved Antlion Algorithm

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42nd Chinese Control Conference, CCC 2023

作者： Sun, Zhe Wen, Zhi Xu, Lei Gong, Guangfu Xie, Xiangpeng Sun, Zhixin Nanjing University of Posts and Telecommunications Nanjing210023 China Nanjing University of Posts and Telecommunications Post Big Data Technology and Application Engineering Research Center of Jiangsu Province Nanjing210023 China Ministry of Education Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing210023 China Anhui Yougu Express Intelligent Technology Co. Ltd Anhui Nanling241300 China

ISBN: (纸本)9789887581543

In the face of the increasing demand of crane transportation speed and stability, an improved Ant-lion algorithm is proposed in this paper. On the original basis, the quasi-reverse learning method is used to improve the stability of the algorithm and make the initial data distributed evenly. Furthermore, an elite ant-lion growth mechanism is introduced to accelerate the convergence speed of the simulation and improve the simulation accuracy. Finally, the proposed algorithm is verified in the double pendulum system of crane based on LQR controller, and the feasibility and effectiveness of the proposed algorithm are proved by experiments. © 2023 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Cranes

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CVCA: A Complex-Valued Classifiable Autoencoder for MmWave Massive MIMO Physical Layer Authentication

CVCA: A Complex-Valued Classifiable Autoencoder for MmWave M...

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IEEE Conference on Computer communications Workshops, INFOCOM Wksps

作者： Xinyuan Zeng Chao Wang Cheng-Cai Wang Zan Li State Key Laboratory of Integrated Service Network Xidian University Xi'an China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing China School of Automation Science and Electrical Engineering Beihang University Beijing China

For protecting millimeter wave (mmWave) communications from clone attacks, this paper employs the deep learning to propose a physical layer authentication (PLA) approach for detecting attackers and classifying multiple legitimate nodes simultaneously. Different from conventional upper-layer authentication mechanisms, the proposed PLA approach exploits the spatial and temporal characteristics of mmWave channels to extract the unique fingerprints for building a lightweight channel-based authentication method. However, the existing threshold-based PLA methods could not discriminate multiple nodes, and supervised learning based approaches have limited application due to the unavailability of attackers' channel state information (CSI) in practice. Besides, traditional real-valued deep neural networks cannot exploit the phase information of complex channels efficiently, which is unsuitable for designing the PLA scheme. Considering these, we propose a complex-valued classifiable autoencoder induced PLA scheme that includes a novel complex-valued long short-term memory (LSTM) module. Simulation results validate the superiority of our proposed PLA approach by comparing it with existing approaches and demonstrate that the detection probability of clone attacks positively correlates with antenna number. The classification performance is satisfactory even under the challenging experimental condition.

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Practical Decoy-State Memory-Assisted Measurement-Device-Independent Quantum key Distribution

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Physical Review Applied 2023年第2期20卷 024029-024029页

作者： Mingshuo Sun Chun-Hui Zhang Hua-Jian Ding Xing-Yu Zhou Jian Li Qin Wang Institute of Quantum Information and Technology Nanjing University of Posts and Telecommunications Nanjing 210003 China “Broadband Wireless Communication and Sensor Network Technology” Key Lab of Ministry of Education NUPT Nanjing 210003 China “Telecommunication and Networks” National Engineering Research Center NUPT Nanjing 210003 China

The measurement-device-independent quantum key distribution (MDI QKD) can resist all attacks against measurement devices. However, its practical performance is still limited due to very low coincidence counting rates in Bell-state measurements. In this paper, we propose a practical memory-assisted MDI QKD protocol by cooperating the heralded single-photon sources and an all-optical quantum memory. By making use of the heralding characteristic of heralded single-photon sources, the earlier photon will be stored in the Sagnac optical quantum memory, and then released till another photon’s arrival. Moreover, by combining with the decoy-state method, the present work exhibits significantly improved key rates and transmission distances compared with all existing MDI QKD protocols without using quantum memories. Therefore, this work can provide valuable references for practical implementation of long-distance quantum communications.

关键词： Optical quantum information processing Quantum cryptography Quantum memories Quantum optics Single photon sources

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Improved Finite-key Security Analysis of Measurement-Device-Independent Quantum key Distribution Against a Trojan-Horse Attack

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Physical Review Applied 2023年第4期19卷 044022-044022页

作者： Hua-Jian Ding Jing-Yang Liu Xing-Yu Zhou Chun-Hui Zhang Jian Li Qin Wang Institute of Quantum Information and Technology Nanjing University of Posts and Telecommunications Nanjing 210003 China Broadband Wireless Communication and Sensor Network Technology Key Lab of Ministry of Education NUPT Nanjing 210003 China Telecommunication and Networks National Engineering Research Center NUPT Nanjing 210003 China

Measurement-device-independent quantum key distribution (MDI QKD) is a promising method for remote key sharing that can eliminate all detector side-channel attacks. However, current security proofs often overlook the potential information leakages from the legitimate users’ devices. In a quantum version of Trojan-horse attack (THA), a malicious eavesdropper can inject bright light into the sources of a MDI QKD system and then analyze the back-reflected light to obtain their setting choices, thereby compromising the final security. Here, we derive the finite-key security bounds of decoy-state MDI QKD in the presence of THA, which significantly outperform previous analyses in terms of the secret-key rate and transmission distance. Specifically, we analyze a symmetric three-intensity decoy-state MDI QKD protocol and an efficient four-intensity decoy-state MDI QKD protocol. Our results represent a fundamental step in guaranteeing the implementation security of quantum communication systems.

关键词： Attacks on networks Quantum communication Quantum cryptography

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Offloading Model of 5G Intelligent Terminal Based on UC-MEC and Node Consensus Mechanism

Offloading Model of 5G Intelligent Terminal Based on UC-MEC ...

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International Conference on wireless communications and Signal Processing (WCSP)

作者： Lei Wang Yufei Su Haie Dou Jingwu Cui Baoyu Zheng School of Communications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications) Ministry of Education Nanjing China

Offloading for 5G intelligent terminals is an important requirement of mobile edge computing (MEC), which can reduce the load of terminal devices and provide more powerful computing power and services. However, due to the interference between different users and the waste of a lot of resources, the role of MEC is greatly limited. In the article, energy-saving blockchain technology is introduced into the user-centric MEC (UC-MEC) system. However, in UC-MEC, it is necessary to comprehensively consider task offloading and energy consumption optimization in the consensus process to improve overall energy efficiency. To solve these problems, a new offloading model of 5G intelligent terminal is proposed, which realizes safe and efficient resource utilization by jointly optimizing the bandwidth and computing resource allocation of access point (AP). The research also proposed a resource consensus mechanism based on Zookeeper atomic broadcast (RC-ZAB), and the parallel optimization framework of relaxed hybrid alternative direction method of multipliers (RH-ADMM) to solve the problems of resource transaction and energy consumption optimization. The experimental results show that compared with the comparison method, the total energy consumption of the proposed method is reduced by 41.39% at most, and the total delay is reduced by 29.80% at most.

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