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International Conference on communication technology (ICCT)

作者： Yiteng Wang Huijie Zhu Tianyi Liang Jiachuan Qian Science and Technology on Communication Information Security Control Laboratory The 36th Research Institute of China Electronics Technology Group Corporation Jiaxing China

For the global navigation satellite system (GNSS) cannot meet the positioning requirements under occlusion or malicious interference, this paper proposes a receiver self-localization method using long-term evolution (LTE) downlink signals. The method is based on the multi-station time difference location mechanism. The signal acquisition of multi-base stations (BSs) is realized by signal demodulation. The transmission time difference calibration is used to solve the asynchronous problem among BSs. The synchronous signal and cell-specific reference signal are comprehensively detected to extract high-precision time difference parameters. The receiver can calculate and obtain its own position by using these timing parameters. Finally, a software-defined receiver is built to carry out experiments in the outdoor environment. Experimental results show that the positioning distance and moving direction are basically consistent with the actual situation. The root mean square error (RMSE) is less than 5m, which fully verifies the feasibility of LTE as an opportunity signal for navigation.

关键词： Global navigation satellite system Navigation Receivers Interference Downlink communications technology Timing

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NEST: Strong Key-Insulated Password-Based Shared-Custodial Blockchain Wallets 20th

NEST: Strong Key-Insulated Password-Based Shared-Custodial B...

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20th International Conference on information security and Cryptology, Inscrypt 2024

作者： Gao, Birou Zhang, Rui Xiao, Yuting Zou, Huan Institute of Information Engineering Chinese Academy of Sciences Beijing China Key Laboratory of Cyberspace Security Defense Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China School of Computer Science and Technology Dongguan University of Technology Guangdong China Information Security Center China Mobile Communication Corporation Beijing China

ISBN: (纸本)9789819647309

Blockchain wallets protect users’ assets by securely storing keys. Research has explored various aspects, including BIP32 for key derivation in cold/hot settings and PDPKS further enhancing key insulation. However, most wallets are either user-managed or exchange-hosted, creating centralized points of failure. Shared-custodial wallets allow users and service providers to collaboratively manage keys, which can lead to potential corruption while still safeguarding asset security. Nonetheless, the need for server involvement in each signature poses challenges to user privacy and efficiency. To address these limitations, we propose NEST, the first efficient wallet that simultaneously satisfies strong key insulation, shared custody and privacy. We restrict malicious users’ access to the server through password-based identity authentication and introduce blindness and unlinkability to prevent malicious servers from associating transactions with specific users. Additionally, we have designed two modes: interactive signing for large transactions with high security requirements, and non-interactive signing for small, high-frequency transactions. Our construction of NEST is based on bilinear pairing and an IND-CCA-secure public key encryption scheme, accompanied by a rigorous security analysis in the random oracle model. We implemented our scheme, and the results demonstrate its practicality. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Blockchain

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Research on Covariance Matrix and Freedom Degree of GNSS Anti-jamming Array

Research on Covariance Matrix and Freedom Degree of GNSS Ant...

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IEEE International Conference on Signal and Image Processing (ICSIP)

作者： Pulong Nan Lijun Wang Gaofeng Pan Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9781665446006

The paper focuses on the covariance matrix and freedom degree widely involved in array anti-jamming processing. Based on the eigen decomposition of array covariance matrix of received signals, the correlation properties as well as the relationship between eigenvalue distribution of covariance matrix and consumed freedom degrees of array are researched and analyzed, with GNSS anti-jamming array taken as an example. Simulation experiments are done to explain a number of representative conditions and help summarize several deploying instructions for the platforms carrying anti-jamming arrays, so as to avoid freedom degrees being consumed much and ensure the anti-jamming capabilities.

关键词： Global navigation satellite system Correlation Array signal processing Image processing Conferences Parallel processing Eigenvalues and eigenfunctions

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Optimal Resource Allocation for UAV-Relay-Assisted Mobile Crowdsensing

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IEEE Transactions on communications 2024年

作者： Yang, Xiaolong Fu, Yaru Zheng, Jianchao Xu, Zhan Shao, Ruihao Wu, Yuan Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing100101 China Beijing Information Science and Technology University School of Information and Communication Engineering Beijing100101 China Hong Kong Metropolitan University School of Science and Technology Hong Kong999077 Hong Kong Academy of Military Science Beijing100091 China University of Macau State Key Laboratory of Internet of Things for Smart City The Department of Computer and Information Science Macau China

In this paper, we exploit an emergency mobile crowdsensing (MCS) framework that utilizes unmanned aerial vehicles (UAVs) in collaboration with uncrashed base stations (BSs) to enhance sensing and communication efficiency. In the proposed framework, mobile users (MUs) equipped with sensors collect data, while UAVs, deployed as aerial relays, collaborate with uncrushed BSs to facilitate the transmission and aggregation of the sensed data from all MUs. However, the limited resources significantly affect the deployment of UAVs and the design of the UAV-relay-assisted MCS system. Moreover, selecting MUs for sensing tasks and allocating bandwidth among them are crucial factors that determine MUs' sensing capabilities and the data transmitting policies. Incorporating with foregoing essential factors, we formulate a comprehensive problem that jointly optimizes the MU selection, bandwidth allocation, UAV deployment, as well as strategies for sensing and transmitting data, aiming to improve the total reward of agent. The formulated problem poses high challenges due to the coupling between the sensing, transmission, as well as the UAVs deployment policies. To deal with this problem, we first derive the optimal transmission power and sensing data size under given MU selection, bandwidth allocation, and UAVs deployment strategy. The original optimization problem is subsequently decomposed into three folds, corresponding to finding the optimal MU selection, bandwidth allocation solution, as well as the deployment of UAVs. Meanwhile, a joint dynamic programming and a swap-then-compare enabled algorithm is proposed to obtain the optimal MU selection and bandwidth allocation policies. Next, the successive convex approximation (SCA) techniques are used to find the optimal locations for the UAVs. Extensive numerical results verify that the proposed joint algorithm can significantly outperform several benchmark approaches. © 1972-2012 IEEE.

关键词： Bandwidth

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Prompt and Contrastive Learning for Few-shot Sentiment Classification 22

Prompt and Contrastive Learning for Few-shot Sentiment Class...

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Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition

作者： Fei Wang Long Chen Xiaohua Huang Cai Xu Wei Zhao Ziyu Guan Guangyue Lu Shaanxi Key Laboratory of Information Communication Network and Security Xi'an University of Posts and Telecommunications China School of Information Science and Technology Northwest University China School of Computer Science and Technology Xidian University China

ISBN: (纸本)9781450396899

Sentiment classification is a hot topic in the field of natural language processing. Currently, state-of-the-art classification models follow two steps: pre-training a large language model on upstream tasks, and then using human-labeled data to fine-tune a task-related model. However, there is a large gap between the upstream tasks of the pre-trained model and the downstream tasks being performed, resulting in the need for more labeled data to achieve excellent performance. Manually annotating data is expensive. In this paper, we propose a few-shot sentiment classification method based on Prompt and Contrastive Learning (PCL), which can significantly improve the performance of large-scale pre-trained language models in low-data and high-data regimes. Prompt learning aims to alleviate the gap between upstream and downstream tasks, and the contrastive learning is designed to capture the inter-class and intra-class distribution patterns of labeled data. Thanks to the integration of the two strategies, PCL markedly exceeds baselines with low resources. Extensive experiments on three datasets show that our method has outstanding performance in the few-shot settings.

关键词： Contrastive learning Prompt learning Sentiment classification

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A Low-noise Frequency-agile Ku-band Frequency Synthesizer for Wideband Frequency Hopping communication System

A Low-noise Frequency-agile Ku-band Frequency Synthesizer fo...

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IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP)

作者： Ding Luo Huaizong Shao Xueyong Zhu Yuanwang Yang Information and Communication Engineering University of Electronic Science and Technology of China China Laboratory of Electromagnetic Space Cognition and Intelligent Control China

In this paper, a low-noise frequency-agile Ku-band frequency synthesizer for the wideband frequency hopping communication system is proposed. Three analog PLL (phase locked loop), two of which constitute an in-loop mixing architecture scheme, are used to provide the carrier frequency in wide low-noise frequency coverage. With out-of-loop and in-loop mixing architecture, the carrier frequency source implemented in the paper has superior performance on frequency jitter, which can be shown as the phase noise level less than -107.3dBc/Hz@1kHz when the carrier frequency is between 12 GHz to 15 GHz in 2 MHz steps. The spurious level is below -64 dBc, and the frequency hopping time is less than 40 us.

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News-driven financial warning based on label information attention 22

News-driven financial warning based on label information att...

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Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition

作者： Ren Zhilin Chen Long Huang Xiaohua Wang Wenjing Xu Cai Zhao Wei Guan Ziyu Shaanxi Key Laboratory of Information Communication Network and Security Xi'an University of Posts and Telecommunications China School of Information Science and Technology Northwest University China School of Computer Science and Technology Xidian University China

ISBN: (纸本)9781450396899

Most existing news-driven stock market prediction methods ignore the potential relationship between financial news and stocks. The complex relationship can help us to improve the accuracy of algorithmic trading systems. Therefore, we propose a deep learning method for financial warning by fusing Stock Label information (SLI). We extract events from news texts and fuse stock information together as feature vectors, using neural networks to model the underlying relationship between news and stocks. Experimental results show that our method outperforms other baseline methods in experiments on TPX500 and TPX100 *** CONCEPTS • Computing methodologies • Artificial intelligence • Natural language processing

关键词： Deep learning Financial warning News-driven Stock label information

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High Altitude Platforms-Assisted Hierarchical Computing Offloading in Marine-IoT Networks: A Delay Minimization Approach

High Altitude Platforms-Assisted Hierarchical Computing Offl...

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IEEE Conference on Global communications (GLOBECOM)

作者： Mingqing Li Li Ping Qian Qianru Wang Yuan Wu Bin Lin Xiaoniu Yang College of Information Engineering Zhejiang University of Technology Hangzhou Zhejiang China Zhuhai UM Science and Technology Research Institute Zhuhai China Department of Computer and Information Science University of Macau Macao SAR China State Key Laboratory of Internet of Things for Smart City University of Macau Macao SAR China Department of Communication Engineering Dalian Maritime University Dalian China Science and Technology on Communication Information Security Control Laboratory Jiaxing China Institute of Cyberspace Security Zhejiang University of Technology Hangzhou China

Mobile edge computing has been a promising technology that enables diverse applications of computation-intensive yet latency-sensitive in marine Internet of Things networks. In this paper, we propose a framework of hierarchical computing offloading with the assistance of high altitude platforms (HAPs), and a hybrid transmission scheme of non-orthogonal multiple access (NOMA) and frequency division multiple access (FDMA) is designed for achieving efficient computation offloading. Specifically, the offshore sensing devices (SDs) initially perform computation offloading to the HAPs by forming NOMA groups, and the HAPs further offload partial workload to the onshore base station (BS) via FDMA. For efficient calculation, we aim to minimize the overall delay in completing all the workload processing of these SDs by jointly optimizing the durations of NOMA and FDMA transmission as well as the hierarchical computation offloading workload. Though the problem is in the form of non-convexity, we design an efficient SCA-based algorithm to tackle it. Finally, numerical results demonstrate the optimality and convergence of the proposed algorithm, as well as the performance gains of the proposed scheme.

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Prediction of Distributed Photovoltaic Accommodation Capability Based on Ridge Regression 9th

Prediction of Distributed Photovoltaic Accommodation Capabil...

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9th Purple Mountain Form on Smart Grid Protection and control, PMF 2024

作者： Ji, Xingquan Zhang, Bowen Zhang, Yumin Sun, Pengkai Zhang, Xiaofeng Liu, Wei dong Shandong University of Science and Technology Qingdao266590 China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan250061 China Information and Communication Company State Grid Shandong Electric Power Company Jinan250013 China Qingdao Yihe Electric Group Co. Ltd. Qingdao266510 China

ISBN: (纸本)9789819616701

A prediction method of distributed photovoltaic accommodation capability is proposed based on ridge regression. First, the factors influencing the distributed photovoltaic accommodation capacity are analyzed, and the concept of the contribution degree of distributed photovoltaic accommodation is introduced. The gray relation analysis method is used to evaluate the correlation between different factors and distributed photovoltaic accommodation, and a model of factors affecting distributed photovoltaic accommodation is constructed. Then, a prediction model of distributed photovoltaic accommodation capability is established based on ridge regression. The factors with high photovoltaic accommodation contribution degrees are incorporated in the prediction model. The mapping relationship between the driving factors of distributed photovoltaic accommodation and the prediction model is derived, then the development strategies for future photovoltaic accommodation capacity are formulated. Finally, simulation is performed on the SPSSPRO platform, and the results show that the proposed method can predict the distributed photovoltaic accommodation capability accurately and provide strategic suggestions for improving future photovoltaic accommodation capacity. © State Grid Electric Power 2025.

关键词： Photovoltaics

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Phase-reference-intensity attack on continuous-variable quantum key distribution with a local local oscillator

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Physical Review A 2022年第3期105卷 032601-032601页

作者： Yun Shao Yang Li Heng Wang Yan Pan Yaodi Pi Yichen Zhang Wei Huang Bingjie Xu Science and Technology on Communication Security Laboratory Institute of Southwestern Communication Chengdu 610041 China State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing 100876 China

In practical continuous-variable quantum key distribution system using local local oscillator (LLO CV-QKD), the phase noise related to coherent detection and phase-reference pulse intensity can be locally calibrated at the receiver side. Therefore, it can be regarded as trusted noise in order to obtain a higher secret key rate and transmission distance. However, security loopholes will be opened for the eavesdropper to launch attacks without appropriate countermeasures. To this end, we propose two practical phase-reference pulse intensity attack strategies, where Eve can reduce the trusted phase noise by manipulating the intensity of the phase-reference pulse, thereby hiding her attack on the signal pulse. The performance of the LLO CV-QKD system under these attacks has been analyzed. We show that precisely monitoring the intensity of the phase-reference pulse in real time is an essential countermeasure to prevent the proposed attacks. Moreover, an intensity-monitoring scheme for the phase-reference pulse is proposed to strengthen the security of the practical LLO CV-QKD system and make the trusted phase noise model more robust.

关键词： Quantum cryptography

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