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TechRxiv 2023年

作者： Luo, Fucai Wang, Haiyan Yan, Xingfu The College of Computer and Information Engineering Zhejiang Gongshang University Hangzhou China The Department of New Networks Peng Cheng Laboratory Shenzhen China The School of Computer Science South China Normal University Guangzhou China

In 2021, Jiang et al. proposed P2AE, a privacy preserving protocol in location-dependent mobile crowdsensing (DOI: 10.1109/TMC.2021.3112394). One of the core techniques behind their scheme is a location-based symmetric key generation algorithm, which enables the service requestor and the mobile nodes in the task area to generate the same key themselves without revealing the location information. However, in this comment, we will point out a flaw in their location-based symmetric key generation algorithm, which indicates that P2AE does not work. In addition, we propose a novel approach to achieve the location-based symmetric key generation using a witness encryption scheme. This approach is feasible, but is currently inefficient due to the inefficiency of the underlying witness encryption scheme. © 2023, CC BY.

关键词： Location

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ABAEKS: Attribute-Based Authenticated Encryption with Keyword Search over Outsourced Encrypted Data

TechRxiv

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TechRxiv 2023年

The widespread adoption of cloud computing and the exponential growth of data highlight the need for secure data sharing and querying. Attribute-based keyword search (ABKS) has emerged as an efficient means of searching encrypted data stored in the cloud. However, existing ABKS schemes are vulnerable to quantum computer attacks, (insider) keyword guessing attacks (KGA), or incur high end-to-end delay. To address these vulnerabilities, this paper introduces a new concept called attribute-based authenticated encryption with keyword search (ABAEKS) and proposes an efficient ABAEKS scheme. Our ABAEKS has low end-to-end delay, and is resistant to both quantum computer attacks and (insider) KGA. In addition, we formalize the security model of ABAEKS system and prove its security in the random oracle model. Finally, we conduct a comprehensive performance evaluation of ABAEKS, and the experimental results show that our ABAEKS is computationally efficient and outperforms current state-of-the-art ABKS schemes. © 2023, CC BY.

关键词： Cloud computing

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Photonic integrated spiking neuron chip based on a self-pulsating DFB laser with a saturable absorber

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Photonics Research 2023年第8期11卷 1382-1389页

作者： YUECHUN SHI SHUIYING XIANG XINGXING GUO YAHUI ZHANG HONGJI WANG DIANZHUANG ZHENG YUNA ZHANG YANAN HAN YONG ZHAO XIAOJUN ZHU XIANGFEI CHEN XUN LI YUE HAO Yongjiang Laboratory Ningbo 315202China State Key Laboratory of Integrated Service Networks State Key Discipline Laboratory of Wide Bandgap Semiconductor TechnologyXidian UniversityXi’an 710071China Key Laboratory of Intelligent Optical Sensing and Manipulation Ministry of EducationNational Laboratory of Solid State MicrostructuresCollege of Engineering and Applied SciencesInstitute of Optical Communication EngineeringNanjing UniversityNanjing 210023China School of Science Jiangnan UniversityWuxi 214122China School of Information Science and Technology Nantong UniversityNantong 226019China Department of Electrical and Computer Engineering McMaster UniversityHamiltonOantario L8S 4K1Canada

We proposed and experimentally demonstrated a simple and novel photonic spiking neuron based on a distributed feedback(DFB)laser chip with an intracavity saturable absorber(SA).The DFB laser with an intracavity SA(DFBSA)contains a gain region and an SA *** gain region is designed and fabricated by the asymmetric equivalentπ-phase shift based on the reconstruction-equivalent-chirp *** properly injected current in the gain region and reversely biased voltage in the SA region,periodic self-pulsation was experimentally observed due to the Q-switching *** self-pulsation frequency increases with the increase of the bias current and is within the range of several *** the bias current is below the self-pulsation threshold,neuronlike spiking responses appear when external optical stimulus pulses are *** results show that the spike threshold,temporal integration,and refractory period can all be observed in the fabricated DFB-SA *** numerically verify the experimental findings,a time-dependent coupled-wave equation model was developed,which described the physics processes inside the gain and SA *** numerical results agree well with the experimental *** further experimentally demonstrated that the weighted sum output can readily be encoded into the self-pulsation frequency of the DFB-SA *** also benchmarked the handwritten digit classification task with a simple single-layer fully connected neural *** using the experimentally measured dependence of the self-pulsation frequency on the bias current in the gain region as an activation function,we can achieve a recognition accuracy of 92.2%,which bridges the gap between the continuous valued artificial neural networks and spike-based neuromorphic *** the best of our knowledge,this is the first experimental demonstration of a photonic integrated spiking neuron based on a DFB-SA,which shows great potential to realizing large-scale mult

关键词： technique laser saturable

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A Supervision Game-Theoretic Incentive Mechanism for Cooperative Sensing in Connected and Autonomous Vehicles

A Supervision Game-Theoretic Incentive Mechanism for Coopera...

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Future Communications and networks (FCN), International Conference on

作者： Pincan Zhao Changle Li Xinrui Zhang Yuchuan Fu Mengqiu Tian State Key Laboratory of Integrated Services Networks Xidian University Xi’an Shaanxi China School of Information Technology Carleton University Ottawa ON Canada Department of Systems and Computer Engineering Carleton University Ottawa ON Canada

ISBN: (数字)9798331512880

ISBN: (纸本)9798331512897

Cooperative sensing has emerged as a promising approach to enhance the sensing capabilities of connected and autonomous vehicles (CAVs) by enabling them to share sensory data through vehicle-to-vehicle communication. However, the lack of motivation for honest participation and the presence of malicious vehicles hinder the widespread adoption of cooperative sensing. To address these challenges, we propose a novel incentive mechanism based on a supervision-oriented game-theoretic approach. Our framework models the interactions between sensing providers (SPs) and sensing requesters (SRs) as a strategic game, where a supervision mechanism is introduced to monitor and penalize misbehavior. We analyze the Nash equilibrium of the game and derive optimal strategies for both SPs and SRs. Extensive simulations demonstrate the effectiveness of our approach in promoting sensing cooperation, ensuring the utility of participants, and improving the overall performance of cooperative sensing in CAVs compared to existing methods.

关键词： Connected vehicles Biological system modeling Ecosystems Vehicular ad hoc networks Games Nash equilibrium Data models Sensors Autonomous vehicles Monitoring

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DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross Domain

arXiv

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arXiv 2024年

作者： Liu, Jun Zhou, Jiantao Zeng, Jiandian Tian, Jinyu Li, Zheng State Key Laboratory of Internet of Things for Smart City Department of Computer and Information Science University of Macau China Institute of Artificial Intelligence and Future Networks Beijing Normal University China School of Computer Science and Engineering Macau University of Science and Technology China

This work investigates efficient score-based black-box adversarial attacks with a high Attack Success Rate (ASR) and good generalizability. We design a novel attack method based on a hierarchical DIsentangled Feature space, called DifAttack++, which differs significantly from the existing ones operating over the entire feature space. Specifically, DifAttack++ firstly disentangles an image’s latent feature into an Adversarial Feature (AF) and a Visual Feature (VF) via an autoencoder equipped with our specially designed Hierarchical Decouple-Fusion (HDF) module, where the AF dominates the adversarial capability of an image, while the VF largely determines its visual appearance. We train such two autoencoders for the clean and adversarial image domains (i.e., cross-domain) respectively to achieve image reconstructions and feature disentanglement, by using pairs of clean images and their Adversarial Examples (AEs) generated from available surrogate models via white-box attack methods. Eventually, in the black-box attack stage, DifAttack++ iteratively optimizes the AF according to the query feedback from the victim model until a successful AE is generated, while keeping the VF unaltered. Extensive experimental results demonstrate that our DifAttack++ leads to superior ASR and query efficiency than state-of-the-art methods, meanwhile exhibiting much better visual quality of AEs. The code is available at https://***/csjunjun/***. © 2024, CC BY-NC-ND.

关键词： Codes (symbols)

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Microcomb-driven photonic convolutional engine

Microcomb-driven photonic convolutional engine

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Bai, Bowen Yang, Qipeng Shu, Haowen Chang, Lin Wu, Yichen Yang, Fenghe Shen, Bitao Tao, Zihan Xie, Weiqiang Hu, Weiwei Bowers, John E. Wang, Xingjun State Key Laboratory of Advanced Optical Communications System and Networks School of Electronics Peking University Beijing100871 China Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States Frontiers Science Center for Nano-optoelectronics Peking University Beijing100871 China Zhangjiang Laboratory Shanghai201210 China Peking University Yangtze Delta Institute of Optoelectronics Nantong226010 China

We demonstrate a microcomb-driven chip-based photonic convolutional engine utilizing time-wavelength plane stretching approach. A preeminent photonic-core compute density of 1.04 TOPS/mm2 and a record high weight cont... 详细信息

ISBN: (纸本)9781957171258

关键词： Convolution

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Integrated Routing and Traffic Signal Control for CAVs via Reinforcement Learning Approach

Integrated Routing and Traffic Signal Control for CAVs via R...

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International Conference on Intelligent Transportation

作者： Jiho Park Guohui Zhang Chieh Wang Hong Wang Zhong-Ping Jiang Department of Electrical and Computer Engineering Control and Networks Lab Tandon School of Engineering New York University Brooklyn NY USA Department of Civil and Environmental Engineering University of Hawaii at Manoa Honolulu HI USA Oak Ridge National Laboratory Oak Ridge TN USA

ISBN: (数字)9798331505929

ISBN: (纸本)9798331505936

Incorporating Connected and Automated Vehicles (CAVs) into urban traffic networks presents opportunities and challenges for traffic management systems. This paper aims to develop an integrated routing and traffic signal control system designed explicitly for CAVs, utilizing a Reinforcement Learning (RL) approach. The objective is to enhance traffic flow and improve overall transportation efficiency in the controlled areas. We propose an innovative framework that employs the Deep Reinforcement Learning (DRL) algorithm, especially the Deep Q-network (DQN), to dynamically adjust the number of vehicles in the routes and the duration of traffic signals. Our simulation results demonstrate that a DQN agent successfully optimizes the number of vehicles in the routes and traffic signal timings of traffic signal controllers, eventually reducing total travel time. The study illustrates the potential usage of RL-based systems in managing routing and traffic signals for CAVs, offering a promising opportunity for future urban traffic management strategies.

关键词： Simulation Heuristic algorithms Transportation Routing Deep reinforcement learning Control systems Timing

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Dual-Polarized Millimeter-Wave Multibeam Antenna Based on Substrate Integrated Coaxial Lines

Dual-Polarized Millimeter-Wave Multibeam Antenna Based on Su...

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UK, Europe, China Millimeter Waves and THz Technology Workshop (UCMMT)

作者： Yuliang Xu Chao Gu Fan Qin State Key Laboratory of Integrated Services Networks (ISN) Xidian University Xi’an China Centre for Wireless Innovation School of Electronics Electrical Engineering and Computer Science Queen’s University of Belfast Belfast UK

ISBN: (数字)9798331530228

ISBN: (纸本)9798331530235

In this paper, we propose a design for a dual-polarized millimeter-wave multibeam slot antenna array utilizing a substrate-integrated coaxial line (SICL) structure with four linear subarrays. The linear arrays, fed by a Butler matrix, operate at a centre frequency of 30 GHz with a bandwidth of 1.9 GHz. By tilting the radiating slots by ±45°, dual polarization is achieved for the resulting antenna. The proposed antenna configuration offers several advantages, including compact size, low profile, and ease of fabrication.

关键词： Butler matrices Fabrication Slot antennas Transmission line matrix methods Millimeter wave technology Bandwidth Terahertz materials Aperture antennas Linear antenna arrays Substrates

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Submilliwatt, widely tunable coherent microcomb generation with feedback-free operation

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Advanced Photonics 2023年第3期5卷 144-154页

作者： Haowen Shu Lin Chang Chenghao Lao Bitao Shen Weiqiang Xie Xuguang Zhang Ming Jin Yuansheng Tao Ruixuan Chen Zihan Tao Huajin Chang Shaohua Yu Qifan Yang Xingjun Wang John E.Bowers Peking University School of ElectronicsState Key Laboratory of Advanced Optical Communication Systems and NetworksBeijingChina University of California Santa BarbaraDepartment of Electrical and Computer EngineeringSanta BarbaraCaliforniaUnited States Peking University School of PhysicsState Key Laboratory for Artificial Microstructure and Mesoscopic PhysicsBeijingChina Peng Cheng Laboratory ShenzhenChina Peking University Frontiers Science Center for Nano-OptoelectronicsBeijingChina

Microcombs are revolutionizing optoelectronics by providing parallel, mutually coherent wavelengthchannels for time-frequency metrology and information processing. To implement this essential function inintegrated photonic systems, it is desirable to drive microcombs directly with an on-chip laser in a simpleand flexible way. However, two major difficulties have prevented this goal: (1) generating mode-lockedcomb states usually requires a significant amount of pump power and (2) the requirement to align laser andresonator frequency significantly complicates operation and limits the tunability of the comb lines. Here, weaddress these problems by using microresonators on an AlGaAs on-insulator platform to generate dark-pulsemicrocombs. This highly nonlinear platform dramatically relaxes fabrication requirements and leads to arecord-low pump power of <1 mW for coherent comb generation. Dark-pulse microcombs facilitated bythermally controlled avoided mode crossings are accessed by direct distributed feedback laser *** any feedback or control circuitries, the comb shows good coherence and stability. With around150 mW on-chip power, this approach also leads to an unprecedentedly wide tuning range of over one freespectral range (97.5 GHz). Our work provides a route to realize power-efficient, simple, and reconfigurablemicrocombs that can be seamlessly integrated with a wide range of photonic systems.

关键词： dark-pulse microcomb direct pumping scheme widely tunable source

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Joint Beam Management and Resource Allocation in a GEO and LEO Spectrum-Sharing System for Effective Interference Avoidance

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IEEE Transactions on Cognitive Communications and Networking 2024年

作者： Zhao, Di Song, Bin Du, Xiaojiang Xidian University State Key Laboratory Of Integrated Services Networks Xi'an710071 China Xidian University Hangzhou Institute Of Technology Hangzhou311231 China Stevens Institute Of Technology Department Of Electrical And Computer Engineering HobokenNJ07030 United States

The large-scale expansion of low Earth orbit (LEO) satellite constellations has ushered in a new era of space communications. However, the limitations of orbital and spectrum resources pose significant obstacles. With the aid of cognitive radio technology, spectrum sharing between LEO and geostationary Earth orbit (GEO) satellite communication systems provides a feasible solution to alleviate spectrum scarcity. Aiming at the scenario where LEO satellites pass through GEO satellite coverage areas, we seek to explore flexible and efficient spectrum sharing schemes to achieve co-linear interference avoidance. In this paper, we formulate a joint optimization problem for beam management and resource allocation, emphasizing the necessity of improving system throughput while ensuring quality of service for GEO satellite users. To address this issue, we first construct a space information model to describe the signal connections between satellites and users, as well as the overlapping coverage relationships among satellites. Then, we develop an adaptive approach that integrates both model-based and model-free deep reinforcement learning (DRL) methods. Guided by the space information graph, the model-based DRL employs a hybrid attention mechanism to mitigate beam-level interference through beam hopping and pointing optimization. Meanwhile, the model-free DRL optimizes channel allocation and power control to achieve user-level spectrum sharing, aiming to maximize resource utilization through continuous interaction. Simulation results demonstrate that the proposed algorithm significantly enhances the overall system throughput, showing its potential for effective interference coordination in the coexistence of LEO and GEO satellite communication systems. © 2015 IEEE.

关键词： Satellite communication systems

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