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CPDZ: A Credibility-Aware and Privacy-Preserving Data Collection Scheme with Zero-Trust in Next-Generation Crowdsensing Networks

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IEEE Journal on Selected Areas in Communications 2025年第6期43卷 2183-2199页

作者： Tang, Jianheng Fan, Kejia Yang, Shihao Liu, Anfeng Xiong, Neal N. Song, Houbing Herbert Leung, Victor C. M. Central South University School of Computer Science and Engineering Changsha410083 China Peking University School of Computer Science Beijing100871 China Sul Ross State University Department of Computer Mathematical and Physical Sciences AlpineTX79830 United States Department of Information Systems BaltimoreMD21250 United States Shenzhen MSU-BIT University Artificial Intelligence Research Institute Shenzhen518172 China Shenzhen University College of Computer Science and Software Engineering Shenzhen518060 China The University of British Columbia Department of Electrical and Computer Engineering VancouverBCV6T 1Z4 Canada

Next-Generation Crowdsensing Networks (NGCNs) have become increasingly critical for smart cities, where data privacy and quality are pivotal concerns. Traditional trust mechanisms in crowdsensing mainly rely on static trust models, which are insufficient for dynamic security requirements. Zero-Trust security represents a promising opportunity, yet coming with notable challenges in NGCNs, including Unknown Workers Online Recruitment (UWOR), Information Elicitation Without Verification (IEWV), Privacy Preserving Data Evaluation (PPDE), and Dynamic Trust Abrupt Shift (DTAS). To address these challenges, we propose a Credibility-aware and Privacy-preserving Data collection scheme with Zero-trust (CPDZ) for secure and quality data collection in NGCNs. First, our CPDZ scheme encompasses a quality worker recruitment strategy with combinatorial multi-armed bandit models, utilizing Thompson Sampling for the secure and efficient resolution of the UWOR. Second, an active dispatching scheme for unmanned aerial vehicles is crafted to collect data as a gold standard to assist in overcoming the IEWV challenge. Third, as for the PPDE challenge, we propose a lightweight privacy-preserving scheme for dependable truth discovery and secure trust verification. Fourth, the DTAS challenge is managed by a dual verification scheme that integrates short-term and long-term trust assessments, ensuring stability and adaptability of the zero-trust security in our CPDZ scheme. Experiments confirm the superiority of our CPDZ scheme, showing a 12.5% increase in recruitment revenue and a 57.8% reduction in relative error compared to existing approaches. © 1983-2012 IEEE.

关键词： Differential privacy

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Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data

arXiv

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arXiv 2025年

作者： Wu, Wentai He, Ligang Long, Saiqin Abdelmoniem, Ahmed M. Wu, Yingliang Mao, Rui Department of Computer Science College of Information Science Technology Jinan University Guangzhou510632 China Department of Computer Science University of Warwick CoventryCV4 7AL United Kingdom School of Electronic Engineering and Computer Science Queen Mary University of London LondonE1 4NS United Kingdom Department of Electronic Business The Institute of Digital Business & Intelligent Logistics South China University of Technology Guangzhou510006 China College of Computer Science and Software Engineering The Shenzhen Institute of Computing Sciences Shenzhen University Shenzhen518060 China

Data, as an observable form of knowledge, has become one of the most important factors of production for the development of Artificial Intelligence (AI). Meanwhile, increasing legislation and regulations on private and proprietary information results in scattered data sources also known as the "data islands". Although some collaborative learning paradigms such as Federated Learning (FL) can enable privacy-preserving training over decentralized data, they have inherent deficiencies in fairness, costs and reproducibility because of being learning-centric, which greatly limits the way how participants cooperate with each other. In light of this, we present a knowledge-centric paradigm termed Knowledge Augmentation in Federation (KAF), with focus on how to enhance local knowledge through collaborative effort. We provide the suggested system architecture, formulate the prototypical optimization objective, and review emerging studies that employ methodologies suitable for KAF. On our roadmap, with a three-way categorization we describe the methods for knowledge expansion, knowledge filtering, and label and feature space correction in the federation. Further, we highlight several challenges and open questions that deserve more attention from the community. With our investigation, we intend to offer new insights for what collaborative learning can bring back to decentralized data. © 2025, CC BY-NC-SA.

关键词： Federated learning

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Measurement of Performance Parameters in the GPON Optical Network 23

Measurement of Performance Parameters in the GPON Optical Ne...

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23rd Slovak-Czech-Polish Optical Conference on Wave and Quantum Aspects of Contemporary Optics

作者： Trubák, Kamil Štípal, Jiří Látal, Jan Šiška, Petr Vojtěch, Josef Hristov, Hristo Department of Telecommunications Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava 17. listopadu 2172/15 Ostrava-Poruba708 00 Czech Republic CESNET a. l. e. Zikova 1903/4 Prague160 00 6 Czech Republic Department of Software Technologies Plovdiv University "Paisii Hilendarski" Plovdiv4000 Bulgaria

ISBN: (数字)9781510688094

ISBN: (纸本)9781510688087

With the increasing number of end users that are using multimedia services, demand for access network high bitrate systems with sufficient quality of services also increases. However, this might not always be ensured by the telecom operators, as they must perform network optimization concerning Quality of Service (QoS) and multimedia data transmission. In this work, we focused on Gigabit Passive Optical Network (GPON) performance testing with the help of various tools (iPerf, RFC 6349 or ITU-T Y.1564). The Grafana software tool is used to monitor data streams. Measurements were made to limit the downstream bitrate of up to 20 end users at 100 Mbit/s. Based on the repeated measurements, an aggregation curve is modelled indicating the available bitrate with respect to the network load. © 2025 SPIE.

关键词： Internet protocols

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MambaHSISR: Mamba Hyperspectral Image Super-Resolution

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IEEE Transactions on Geoscience and Remote Sensing 2025年 63卷

作者： Xu, Yinghao Wang, Hao Zhou, Fei Luo, Chunbo Sun, Xin Rahardja, Susanto Ren, Peng College of Oceanography and Space Informatics Qingdao266580 China College of Control Science and Engineering Qingdao266580 China University of Exeter Department of Computer Science ExeterEX4 4QJ United Kingdom City University of Macau Faculty of Data Science Macau China Singapore Institute of Technology 138683 Singapore

One of the main challenges facing hyperspectral image super-resolution is the complex high-dimensional data processing. Mamba leverages its ability to model long-range dependencies of linear complexity to capture the global spatial and spectral information of high-dimensional data while maintaining linear complexity. However, its visual state space equation mainly focuses on the band dimension mapping of the image, while ignoring the modeling of the spatial dimension. To overcome this limitation, we develop a Mamba hyperspectral image super-resolution framework, which comprises three essential components. The first component, i.e., the spatial Mamba subnetwork, models the spatial dimensions of hyperspectral data. It captures long-range dependencies in the pixel space, thereby integrating global spatial information into the framework. The second component, i.e., the spectral Mamba subnetwork, serves to capture long-range spectral dependencies. The third component, i.e., reconstruction, generates hyperspectral images with rich spatial and spectral details through pixel interpolation. Our Mamba framework fully develops the potential of the Mamba model in hyperspectral image super-resolution, significantly enhancing the restoration quality and accuracy of hyperspectral images. Extensive experiments on the Houston and QUST-1 datasets show that our framework outperforms state-of-the-art methods in both quantitative metrics and visual quality across diverse scenarios. © 1980-2012 IEEE.

关键词： Hyperspectral imaging

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Learning from imbalance: Cross-server power prediction in large data centers via domain adaptation regression

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Expert Systems with Applications 2025年 287卷

作者： Mo, Ruichao Lin, Weiwei Liu, Guozhi Liu, Haolin He, Ligang School of Computer Science and Engineering South China University of Technology Guangzhou510006 China Pengcheng Laboratory Shenzhen518066 China School of Computer Science Xiangtan University Xiangtan411105 China Department of Computer Science University of Warwick CoventryCV4 7AL United Kingdom

Machine learning (ML) models currently excel at predicting power consumption for servers in cloud data centers. The heterogeneity of server configurations violates the assumption of independent and identically distributed (i.i.d.) data, resulting in distribution shifts that pose significant challenges for cross-server power prediction. Additionally, the labels of power consumption data collected over a limited time show a natural imbalance, causing the power prediction performance to degrade when encountering missing labels. Therefore, learning meaningful knowledge from imbalanced power consumption data of real servers for cross-server power prediction remains challenging. To address this challenge, we consider imbalanced cross-server power prediction, formulated as a semi-supervised domain adaptation regression problem in scenarios where few labeled data points of target servers are available. Consequently, an imbalanced cross-server power prediction method, named ICSP, is proposed. To prevent learning biased knowledge from imbalanced data, unbalanced optimal transport is employed to align the joint probability distribution of the source and target servers. Moreover, by incorporating the few labels of target servers as a priori constraints, the performance of ICSP in coping with distribution shift is further improved. Extensive experiments on a real-world dataset demonstrate the superiority of ICSP over existing domain adaptation regression methods for imbalanced cross-server power prediction. © 2025 Elsevier Ltd

关键词： Normal distribution

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Multimedia Services Problems in Hybrid Network 23

Multimedia Services Problems in Hybrid Network

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23rd Slovak-Czech-Polish Optical Conference on Wave and Quantum Aspects of Contemporary Optics

作者： Štípal, Jiří Trubák, Kamil Látal, Jan Šiška, Petr Vojtěch, Josef Hristov, Hristo Department of Telecommunications Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava 17. listopadu 2172/15 Ostrava-Poruba708 00 Czech Republic CESNET a. l. e. Zikova 1903/4 Prague160 00 6 Czech Republic Department of Software Technologies Plovdiv University "Paisii Hilendarski" Plovdiv4000 Bulgaria

ISBN: (数字)9781510688094

ISBN: (纸本)9781510688087

This work is dealing with actual topic in the field of internet service providers that are solving the question of metallic and optical networks convergence. The aim was to construct an experimental network topology in the form of WAN or LAN topology consisting of GPON network with VDSL2 technology, which led to the creation of a hybrid access network, on which the parameters of multimedia services were then measured. In particular, focusing on the distribution of video streams through SDTV & HDTV (MPEG-2) + HDTV (MPEG-4). As part of the network integrity measurements, tests are performed according to the recommendations of RFC 6349 and ITU-T Y.1564 standard. © 2025 SPIE.

关键词： Multimedia services

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Beamforming Optimization for Continuous Aperture Array (CAPA)-based Communications

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IEEE Transactions on Wireless Communications 2025年

作者： Wang, Zhaolin Ouyang, Chongjun Liu, Yuanwei Queen Mary University of London School of Electronic Engineering and Computer Science LondonE1 4NS United Kingdom The University of Hong Kong Department of Electrical and Electronic Engineering China Kyung Hee University Department of Electronic Engineering Yongin-si17104 Korea Republic of

The beamforming optimization in continuous aperture array (CAPA)-based multi-user communications is studied. In contrast to conventional spatially discrete antenna arrays, CAPAs can exploit the full spatial degrees of freedom (DoFs) by emitting information-bearing electromagnetic (EM) waves through continuous source current distributed across the aperture. Nevertheless, such an operation renders the beamforming optimization problem as a non-convex integral-based functional programming problem, which is challenging for conventional discrete optimization methods. A couple of low-complexity approaches are proposed to solve the functional programming problem. 1) Calculus of variations (CoV)-based approach: Closed-form structure of the optimal continuous source patterns are derived based on CoV, inspiring a low-complexity integral-free iterative algorithm for solving the functional programming problem. 2) Correlation-based zero-forcing (Corr-ZF) approach: Closed-form ZF source current patterns that completely eliminate the inter-user interference are derived based on the channel correlations. By using these patterns, the original functional programming problem is transformed to a simple power allocation problem, which can be solved using the classical water-filling approach with reduced complexity. Our numerical results validate the effectiveness of the proposed designs and reveal that: i) compared to the state-of-the-art Fourier-based discretization approach, the proposed CoV-based approach not only improves communication performance but also reduces computational complexity by up to hundreds of times for large CAPA apertures and high frequencies, and ii) the proposed Corr-ZF approach achieves asymptotically optimal performance compared to the CoV-based approach. © 2025 IEEE. All rights reserved.

关键词： Iterative methods

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Design and Modeling of a Bio-Inspired Aequorin-Based Light-emitting Unit: Applications in Optogenetics and Beyond

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IEEE Transactions on Biomedical engineering 2025年 PP卷 PP页

作者： Azarnoush, Arash Dambri, Oussama Abderrahmane Karatop, Eslin ustun Makrakis, Dimitrios Hafid, Abdelhakim Senhaji University of Ottawa School of Electrical Engineering and Computer Science OttawaONK1N 6N5 Canada Université de Montréal Department of Computer Science and Operations Research MontrealQCH3T 1J4 Canada

Biophotonics includes a wide range of applications that use light-based technologies to investigate and manipulate biological systems. Traditionally, bioluminescence has been extensively used as a reporting agent in various biophotonics applications. However, its potential as a light source has not been explored. In this study, we propose the use of wireless Aequorin-based illumination as a bioinspired light-emitting source within biological tissue. This approach can have applications in a range of technologies;from optogenetics to bio-optical communications to human-brain interfaces. Drawing inspiration from the natural bioluminescent properties found in marine organisms, we designed a wireless Aequorin-based bioluminescence unit and developed an equivalent circuit model to describe the biological processes involved in illumination. Our model predicts the behavior of the bioluminescent units under various physical conditions, offering a framework for understanding how variations in physical parameters influence luminescence characteristics. In the absence of experimental studies focusing on Aequorin-based bioluminescence as a light source, our findings provide valuable guidance for researchers. These insights can help in understanding the system's behavior, designing more complex bioluminescence systems composed of multiple illumination units, and selecting parameters for future experimental research. © 1964-2012 IEEE.

关键词： Biotic

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Performance Analysis of Near-Field Sensing in Wideband MIMO Systems

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IEEE Transactions on Wireless Communications 2025年

作者： Wang, Zhaolin Mu, Xidong Liu, Yuanwei Queen Mary University of London School of Electronic Engineering and Computer Science LondonE1 4NS United Kingdom School of Electronics Electrical Engineering and Computer Science BelfastBT3 9DT United Kingdom The University of Hong Kong Department of Electrical and Electronic Engineering Hong Kong Hong Kong Kyung Hee University Department of Electronic Engineering Gyeonggi-do Yongin-si17104 Korea Republic of

The performance of near-field sensing (NISE) in a legacy wideband multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) communication system is analyzed. The maximum likelihood estimates (MLE) for the target’s distance and angle relative to the antenna array are derived. To evaluate the estimation error, closedform analytical expressions of Craḿer-Rao bounds (CRBs) are derived for both uniform linear arrays (ULAs) and uniform circular arrays (UCAs). The asymptotic CRBs are then analyzed to reveal the scaling laws of CRBs with respect to key system parameters, including array size, bandwidth, and target distance. Our results reveal that 1) the mean-squared error achieved by MLEs approaches CRBs in the high signal-to-noise ratio regime;2) a larger array aperture does not necessarily improve NISE performance, especially with ultra-large bandwidth;3) large bandwidth sets an estimation error ceiling for NISE as target distance increases;4) array aperture and bandwidth, rather than the number of antennas and subcarriers, are the key factors affecting wideband NISE performance;and 5) UCAs offer superior, angle-independent wideband NISE performance compared to ULAs with the same aperture. © 2002-2012 IEEE.

关键词： Cramer-Rao bounds

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Optical properties of scandium-doped aluminum nitride thin film for integrated photonics 29

Optical properties of scandium-doped aluminum nitride thin f...

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Integrated Optics: Devices, Materials, and Technologies XXIX 2025

作者： Li, Nanxi Zhuge, Yangyang Chung, Wing Wai Gong, Xiangxin Xu, Siyu Cao, Yanmei Li, Minghua Tsang, Yat Fung Toh, Yeow Teck Lee, Steven Hou Jang Lin, Huamao Tobing, Landobasa Y.M. Ho, Chong Pei Chae, Sang Hoon Luo, Xianshu Lee, Chengkuo 2 Fusionopolis Way Innovis #08-02 Singapore138634 Singapore Center for Intelligent Sensors and MEMS Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 Singapore117583 Singapore School of Electrical and Electronic Engineering Nanyang Technological University 50 Nanyang Ave Singapore639798 Singapore 1 Fusionopolis Way #19-10 Connexis North Singapore138632 Singapore School of Materials Science and Engineering Nanyang Technological University 50 Nanyang Ave Singapore639798 Singapore

ISBN: (纸本)9781510684867

Scandium (Sc)-doped aluminum nitride (AlN) has been widely used as a piezoelectric material in micro-electromechanical systems (MEMS) devices. Recently, it also draws interests in photonics research contributed by its enhanced nonlinear optical property. Here, we report the (n, k) values of Sc-doped AlN thin films under various doping concentrations. These thin films with thickness of around 500 nm are deposited on silica through co-sputtering process. Reduced optical bandgap energies are observed at higher Sc doping concentrations. Furthermore, the top surface roughness of 2 region. Also, with etching process optimization, the 10% Sc-doped photonic waveguide sidewall angle and roughness have been obtained as >80° and 4. The reported results here pave the way towards Sc-doped AlN for integrated photonics, with potential applications in communication, sensing, and quantum computing. © 2025 SPIE.

关键词： Aluminum nitride

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