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Physical Layer Encryption of OFDM-PON Based on Quantum Noise Stream Cipher with Polar Code

China Communications 2024年第3期21卷 174-188页

作者： Xu Yinbo Gao Mingyi Zhu Huaqing Chen Bowen Xiang Lian Shen Gangxiang Jiangsu Engineering Research Center of Novel Optical Fiber Technology and Communication Network Suzhou Key Laboratory of Advanced Optical Communication Network Technologythe School of Electronic and Information EngineeringSoochow UniversityNo.1 Shizi StreetSuzhou 215006China

Orthogonal frequency division multiplexing passive optical network(OFDM-PON) has superior anti-dispersion property to operate in the C-band of fiber for increased optical power budget. However,the downlink broadcast exposes the physical layer vulnerable to the threat of illegal eavesdropping. Quantum noise stream cipher(QNSC) is a classic physical layer encryption method and well compatible with the OFDM-PON. Meanwhile, it is indispensable to exploit forward error correction(FEC) to control errors in data transmission. However, when QNSC and FEC are jointly coded, the redundant information becomes heavier and thus the code rate of the transmitted signal will be largely reduced. In this work, we propose a physical layer encryption scheme based on polar-code-assisted QNSC. In order to improve the code rate and security of the transmitted signal, we exploit chaotic sequences to yield the redundant bits and utilize the redundant information of the polar code to generate the higher-order encrypted signal in the QNSC scheme with the operation of the *** experimentally demonstrate the encrypted 16/64-QAM, 16/256-QAM, 16/1024-QAM, 16/4096-QAM QNSC signals transmitted over 30-km standard single mode fiber. For the transmitted 16/4096-QAM QNSC signal, compared with the conventional QNSC method, the proposed method increases the code rate from 0.1 to 0.32 with enhanced security.

关键词： physical layer encryption polar code quantum noise stream cipher

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Unlocking Co3O4–ZnO p-n heterojunction for superior acetone gas sensing detection

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Progress in Natural Science:Materials International 2024年第5期34卷 990-999页

作者： Xingxing Liu Tingting Shao Juntang Dong Huirong Kou Fuchun Zhang Yuyang Cheng Jiaming Guo Shuwei Tian Kuldeep K.Saxena Xinghui Liu School of Physics and Electronic Information Yan'an University Division of Research and Development Lovely Professional University Science and Technology on Aerospace Chemical Power Laboratory Laboratory of Emergency Safety and Rescue Technology Hubei Institute of Aerospace Chemotechnology Department of Materials Physics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMTS)

In this study, we synthesized pure ZnO and Co3O4–ZnO precursors with varied Co, Zn ratios via solvothermal method, and then the precursors were calcined at 400°C for 2 h in a muffle furnace under air to obtain composites for acetone detection. The structure, morphology, elemental composition, microstructure and chemical state of these materials were systematically studied by various characterization techniques. Additionally, we also evaluated the gas sensing performance of the composites-based sensors, focusing on optimal operating temperature,baseline resistance, repeatability, stability, selectivity, response/recovery time, and resistance under varying relative humidity. The findings reveal that 3 % Co3O4–ZnO-based sensor exhibit the highest response value to 100 ppm acetone（74）, showing an enhancement of approximately 9.3 times compared to the pure ZnO-based sensor（8）. Furthermore, the 3 % Co3O4–ZnO-based sensor demonstrate the advantages of rapid response/recovery times（15 s/2 s）, outstanding selectivity, and remarkable stability. The gas sensing mechanism of the composite material is also discussed in detail, which provides insights into the observed enhancement of gas sensing performance. It provides an idea for the follow-up study on gas sensing performance of acetone sensors.

关键词： Heterojunction Acetone Co_3O_4-ZnO Gas sensing Solvothermal method

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Blockchain-Based Data Acquisition with Privacy Protection in UAV Cluster Network

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Computer Modeling in Engineering & Sciences 2023年第10期137卷 879-902页

作者： Lemei Da Hai Liang Yong Ding Yujue Wang Changsong Yang Huiyong Wang Guangxi Key Laboratory of Cryptography and Information Security School of Computer Science and Information SecurityGuilin University of Electronic TechnologyGuilin541004China Cyberspace Security Research Center Pengcheng LaboratoryShenzhen518055China School of Mathematics and Computing Science Guilin University of Electronic TechnologyGuilin541004China

The unmanned aerial vehicle(UAV)self-organizing network is composed of multiple UAVs with autonomous capabilities according to a certain structure and scale,which can quickly and accurately complete complex tasks such as path planning,situational awareness,and information *** to the openness of the network,the UAV cluster is more vulnerable to passive eavesdropping,active interference,and other attacks,which makes the system face serious security *** paper proposes a Blockchain-Based Data Acquisition(BDA)scheme with privacy protection to address the data privacy and identity authentication problems in the UAV-assisted data acquisition *** UAV cluster has an aggregate unmanned aerial vehicle(AGV)that can batch-verify the acquisition reports within its administrative *** successful verification,AGV adds its signcrypted ciphertext to the aggregation and uploads it to the blockchain for *** are two chains in the blockchain that store the public key information of registered entities and the aggregated reports,*** security analysis shows that theBDAconstruction can protect the privacy and authenticity of acquisition data,and effectively resist a malicious key generation center and the public-key substitution *** also provides unforgeability to acquisition reports under the Elliptic Curve Discrete Logarithm Problem(ECDLP)*** performance analysis demonstrates that compared with other schemes,the proposed BDA construction has lower computational complexity and is more suitable for the UAV cluster network with limited computing power and storage capacity.

关键词： Unmanned aerial vehicle cluster network certificateless signcryption certificateless signature batch verification source authentication data privacy blockchain

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3-D Parametric Metal Targets Inversion with Supervised Descent Method

3-D Parametric Metal Targets Inversion with Supervised Desce...

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2024 International Applied Computational Electromagnetics Society Symposium, ACES-China 2024

作者： Shao, Tianchen Li, Maokun Yang, Fan Xu, Shenheng Tsinghua University Beijing National Research Center for Information Science and Technology Department of Electronic Engineering Beijing100084 China

ISBN: (纸本)9798350355581

In this article, we introduce an inversion method utilizing the supervised descent method (SDM) for reconstructing 3-D parametric metal targets. Trained on a set of simple targets, the SDM learns the mapping relationship between target characteristics and scattering data. This training process integrates prior knowledge into the optimization, effectively mitigating the ill-posedness of inverse scattering problems (ISPs). We demonstrate the application of this method to complicated targets, verifying its capability to predict accurate descent directions. The efficacy of this approach is validated through several examples, demonstrating its low training demands and high accuracy. © 2024 IEEE.

关键词： Inverse problems

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A Sequential Experience Network Based Continual Learning for Air Crisis Event Recognition

A Sequential Experience Network Based Continual Learning for...

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2025 Integrated Communications, Navigation and Surveillance Conference, ICNS 2025

作者： Zhang, Shengjie Jiang, Xiaolian Xiao, Wei Tian, Feng Peng, Mingtian Yang, Cheng Zhang, Yishan Yang, Yang School of Electronic Information Engineering Beihang University State Key Laboratory of CNS/ATM Beijing China Research and Development Center Travelsky Technology Limited Fares Department Beijing China Research and Development Center Travelsky Technology Limited Beijing China

ISBN: (纸本)9798331534738

With the exponential growth of multimodal data on the Internet, the recognition of air crisis events has become increasingly vital for managing accident-related information. This work underscores the continuous emergence of new air crisis events as its central feature. Traditional studies in this field have been limited to identifying a predefined array of these events. Nevertheless, the real-world application requires the dynamic recognition and management of unforeseen air crisis events. A static recognition model proves inadequate in such a rapidly changing environment, as it fails to identify emerging events. To address this deficiency, we introduce a novel problem termed Continual Air Crisis Event Recognition (CACER) in this paper. CACER necessitates a recognition model capable of learning from sequentially collected training data and categorizing all acquired events in test data. We propose a new Sequential Experience Network (SEN) designed to learn continuously from sequential data and recognize previously unidentified air crisis events. Our approach begins with current experience learning, aimed at mastering the classification of newly emerged events within current datasets. Subsequently, we employ a method of prior experience replay enhanced by self-knowledge distillation to solidify previously learned knowledge and avert catastrophic forgetting. In anticipation of entirely new events, we also intro-duce an unforeseen experience preparation component, featuring a modality mixture mechanism to prime classifiers. Furthermore, we conduct extensive experiments on the AirCrisisMMD and CrisisMMD datasets. The empirical results across these two datasets assert the superiority of our method over leading-edge alternatives. © 2025 IEEE.

关键词： information management

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Standardized Design: On-chip Diffractive Optical Logic Operation Units with Ultra-compact Structures

Standardized Design: On-chip Diffractive Optical Logic Opera...

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CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Sun, Run Huang, Yuyao Liu, Wencan Fu, Tingzhao Yang, Sigang Chen, Hongwei Beijing National Research Center for Information Science and Technology Department of Electronic Engineering Tsinghua University Beijing100084 China

With an ultra-compact footprint of 9×18μm2, on-chip diffractive optical logic operation units accomplish (N)AND, (N)OR, and X(N)OR utilizing a standardized structures with only 36 etching slots. It has outstandi... 详细信息

关键词： Diffractive optics

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Ultra-compact optical neural network chip

Ultra-compact optical neural network chip

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Liu, Wencan Fu, Tingzhao Huang, Yuyao Sun, Run Yang, Sigang Chen, Hongwei Beijing National Research Center for Information Science and Technology Department of Electronic Engineering Tsinghua University Beijing100084 China

Two diffractive optical neural network chips featuring an integration level of over 60,000 neurons/mm2 are fabricated, experimentally yielding accuracies of 90.0% and 93.3% on the Iris plants dataset, respectively. CL... 详细信息

ISBN: (纸本)9781957171395

关键词： Optical fiber fabrication

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Ultra-compact optical neural network chip

Ultra-compact optical neural network chip

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CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

关键词： Diffractive optics

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Optical Mode Entanglement Generation from an Optomechanical Nanobeam

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Chinese Physics Letters 2024年第11期41卷 62-76页

作者： Qi-Zhi Cai Bo-Yu Fan Yun-Ru Fan Guang-Wei Deng You Wang Hai-Zhi Song Guang-Can Guo Qiang Zhou Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 611731China Center for Quantum Internet Tianfu Jiangxi LaboratoryChengdu 641419China Key Laboratory of Quantum Physics and Photonic Quantum Information(Ministry of Education) University of Electronic Science and Technology of ChinaChengdu 611731China Southwest Institute of Technical Physics Chengdu 610041China CAS Key Laboratory of Quantum Information University of Science and Technology of ChinaHefei 230026China Jiangxi Research Institute University of Electronic Science and Technology of ChinaChengdu 641419China

Nano-optomechanical systems,capable of supporting enhanced light-matter interactions,have wide applications in studying quantum entanglement and quantum information ***,preparing optical telecomband entanglement within a single optomechanical nanobeam remains *** propose and design a triply resonant optomechanical nanobeam to generate steady-state entangled propagating optical modes and present its quantum-enhanced performance for teleportation-based quantum state transfer under realistic ***,the entanglement quantified by logarithmic negativity can obtain E_(N)=***,with structural imperfections induced by realistic fabrication processes considered,the device still shows great *** with quantum interfaces between mechanical motion and solid-state qubit processors,the proposed device potentially paves the way for versatile nodes in long-distance quantum networks.

关键词： quantum beam preparing

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A Time Series Model for Communication Scenario Recognition with Weighted Correction 16

A Time Series Model for Communication Scenario Recognition w...

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16th International Conference on Wireless Communications and Signal Processing, WCSP 2024

作者： Zeng, Renxiao Zhou, Sheng Tsinghua University Beijing National Research Center for Information Science and Technology Department of Electronic Engineering Beijing100084 China

ISBN: (纸本)9798350390643

Wireless communication is in strong demand of high throughput, low latency and high reliability, while mobility brings challenges to these demands. In particular, dynamic communication scenarios bring difficulty to communication devices in adjusting transmission strategies accordingly. Communication scenario recognition provides specific information of the environ-ment to mobile devices to make more intelligent communication strategies. We propose a long short-term memory (LSTM)-based model called SERA, which exploits the temporal relationship between the samples of multivariate data collected by mobile devices. In the proposed model, we have designed weighted correction (WCR) as a real-time post-processing to smooth the recognition results. Furthermore, we implement extensive performance analyses and simulations to validate SERA. Our experiments with real-world data demonstrate a 20% improve-ment in recognition performance over existing benchmarks. © 2024 IEEE.

关键词： LSTM mobile communication scenario recognition weighted correction

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