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Efficient secret sharing scheme realizing graph-based adversary structures

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Jisuanji Yanjiu yu Fazhan/computer Research and Development 2005年第5期42卷 877-882页

作者： Guo, Yuanbo Ma, Jianfeng Wang, Yadi Key Laboratory of Computer Networks and Information Security Xidian University Xi'an 710071 China School of Electronic Technology Information Engineering University of PLA Zhengzhou 450004 China School of Computing and Automatization Tianjin Polytechnic University Tianjin 300160 China

Most of the existing secret sharing schemes are constructed to realize general access structure, which is defined in term of authorized groups of participants, and is unable to be applied directly to the design of an intrusion tolerant system. Instead, the generalized adversary structure, which specifies the corruptible subsets of participants, can be determined directly by exploiting the system setting and the attributes of all participants. An efficient secret sharing scheme realizing graph-based adversary structures is proposed. The scheme requires less computational costs and storage overhead than the existing ones. Furthermore, it is proved that the scheme satisfy both the required properties of the secret sharing scheme, i.e., the reconstruction property and the perfect property.

关键词： Adversary structure Graph-based Secret sharing

Low-PMEPR preamble sequence design for dynamic spectrum allocation in OFDMA systems

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arXiv 2020年

作者： Zhou, Yajing Zhou, Zhengchun Liu, Zilong Fan, Pingzhi Guan, Yong Liang School of Information Science and Technology Southwest Jiaotong University Chengdu611756 China School of Mathematics Southwest Jiaotong University Chengdu611756 China State Key Laboratory of Integrated Services Networks Xidian University Xian710071 China School of Computer Science and Electronic Engineering University of Essex United Kingdom Institute of Mobile Communications Southwest Jiaotong University Chengdu611756 China School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798 Singapore

Orthogonal Frequency Division Multiple Access (OFDMA) with Dynamic spectrum allocation (DSA) is able to provide a wide range of data rate requirements. This paper is focused on the design of preamble sequences in OFDMA systems with low peak-to-mean envelope power ratio (PMEPR) property in the context of DSA. We propose a systematic preamble sequence design which gives rise to low PMEPR for possibly non-contiguous spectrum allocations. With the aid of Golay-Davis-Jedwab (GDJ) sequences, two classes of preamble sequences are presented. We prove that their PMEPRs are upper bounded by 4 for any DSA over a chunk of four contiguous resource blocks. Copyright © 2020, The Authors. All rights reserved.

关键词： Orthogonal frequency division multiplexing

Energy-efficient resource allocation in noma heterogeneous networks

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arXiv 2018年

作者： Zhang, Haijun Fang, Fang Cheng, Julian Long, Keping Wang, Wei Leung, Victor C.M. Engineering and Technology Research Center for Convergence Networks University of Science and Technology Beijing Beijing100083 China School of Engineering University of British Columbia KelownaBCV1X 1V7 Canada College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China Zhejiang Provincial Key Laboratory of Information Processing Communication and Networking Hangzhou310027 China Department of Electrical and Computer Engineering University of British Columbia VancouverBCV6T 1Z4 Canada

Non-orthogonal multiple access (NOMA) has attracted much recent attention owing to its capability for improving the system spectral efficiency in wireless communications. Deploying NOMA in heterogeneous network can satisfy users' explosive data traffic requirements, and NOMA will likely play an important role in the fifth-generation (5G) mobile communication networks. However, NOMA brings new technical challenges on resource allocation due to the mutual cross-tier interference in heterogeneous networks. In this article, to study the tradeoff between data rate performance and energy consumption in NOMA, we examine the problem of energy-efficient user scheduling and power optimization in 5G NOMA heterogeneous networks. The energy-efficient user scheduling and power allocation schemes are introduced for the downlink 5G NOMA heterogeneous network for perfect and imperfect channel state information (CSI) respectively. Simulation results show that the resource allocation schemes can significantly increase the energy efficiency of 5G NOMA heterogeneous network for both cases of perfect CSI and imperfect CSI. Copyright © 2018, The Authors. All rights reserved.

关键词： Heterogeneous networks

Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approaches

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arXiv 2024年

作者： Dong, Yanjie Zhang, Haijun Li, Chengming Guo, Song Leung, Victor C.M. Hu, Xiping Artificial Intelligence Research Institute Guangdong-Hong Kong-Macao Joint Laboratory for Emotional Intelligence and Pervasive Computing Shenzhen MSU-BIT University Shenzhen518172 China The Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services University of Science and Technology Beijing Beijing China The Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong The School of Medical Technology Beijing Institute of Technology Beijing100811 China

Since the invention of GPT2-1.5B in 2019, large language models (LLMs) have transitioned from specialized models to versatile foundation models. The LLMs exhibit impressive zero-shot ability, however, require fine-tuning on local datasets and significant resources for deployment. Traditional fine-tuning techniques with the first-order optimizers require substantial GPU memory that exceeds mainstream hardware capability. Therefore, memory-efficient methods are motivated to be investigated. Model compression techniques can reduce energy consumption, operational costs, and environmental impact so that to support sustainable artificial intelligence advancements. Additionally, large-scale foundation models have expanded to create images, audio, videos, and multi-modal contents, further emphasizing the need for efficient deployment. Therefore, we are motivated to present a comprehensive overview of the prevalent memory-efficient fine-tuning methods over the network edge. We also review the state-of-the-art literatures on model compression to provide a vision on deploying LLMs over the network edge. © 2024, CC BY.

关键词： Edge computing

Behavior-aware Account De-anonymization on Ethereum Interaction Graph

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arXiv 2022年

作者： Zhou, Jiajun Hu, Chenkai Chi, Jianlei Wu, Jiajing Shen, Meng Xuan, Qi The Institute of Cyberspace Security College of Information Engineering Zhejiang University of Technology Hangzhou310023 China The Hangzhou Research Institute Xidian University Hangzhou311231 China The School of Computer Science and Engineering Sun Yat-sen University Guangzhou510006 China The School of Cyberspace Science and Technology Beijing Institute of Technology Beijing100081 China Shenzhen518066 China PCL Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen518000 China Hangzhou310056 China

Blockchain technology has the characteristics of decentralization, traceability and tamper-proof, which creates a reliable decentralized trust mechanism, further accelerating the development of blockchain finance. However, the anonymization of blockchain hinders market regulation, resulting in increasing illegal activities such as money laundering, gambling and phishing fraud on blockchain financial platforms. Thus, financial security has become a top priority in the blockchain ecosystem, calling for effective market regulation. In this paper, we consider identifying Ethereum accounts from a graph classification perspective, and propose an end-to-end graph neural network framework named Ethident, to characterize the behavior patterns of accounts and further achieve account de-anonymization. Specifically, we first construct an Account Interaction Graph (AIG) using raw Ethereum data. Then we design a hierarchical graph attention encoder named HGATE as the backbone of our framework, which can effectively characterize the node-level account features and subgraph-level behavior patterns. For alleviating account label scarcity, we further introduce contrastive self-supervision mechanism as regularization to jointly train our framework. Comprehensive experiments on Ethereum datasets demonstrate that our framework achieves superior performance in account identification, yielding 1.13% ∼ 4.93% relative improvement over previous state-of-the-art. Furthermore, detailed analyses illustrate the effectiveness of Ethident in identifying and understanding the behavior of known participants in Ethereum (e.g. exchanges, miners, etc.), as well as that of the lawbreakers (e.g. phishing scammers, hackers, etc.), which may aid in risk assessment and market regulation. Copyright © 2022, The Authors. All rights reserved.

关键词： Blockchain

Reconfigurable Intelligent Surface Assisted High-Speed Train Communications: Coverage Performance Analysis and Placement Optimization

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arXiv 2023年

作者： Liu, Changzhu He, Ruisi Niu, Yong Han, Zhu Ai, Bo Gao, Meilin Ma, Zhangfeng Wang, Gongpu Zhong, Zhangdui The State Key Laboratory of Advanced Rail Autonomous Operation The School of Electronics and Information Engineering The Frontiers Science Center for Smart High-speed Railway System The Beijing Engineering Research Center of High-Speed Railway Broadband Mobile Communications Beijing Jiaotong University Beijing100044 China The State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University Beijing100044 China The National Mobile Communications Research Laboratory Southeast University Nanjing211189 China The Department of Electrical and Computer Engineering The University of Houston HoustonTX77004 United States The Department of Computer Science and Engineering Kyung Hee University Seoul446-701 Korea Republic of Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou University Zhengzhou450001 China Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China The Tsinghua Space Center the Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100091 China The College of Information Engineering Shaoyang University Shaoyang422000 China The Beijing Key Lab of Transportation Data Analysis and Mining School of Computer and Information Technology Beijing Jiaotong University Beijing100044 China

Reconfigurable intelligent surface (RIS) emerges as maximization problem is formulated to facilitate RIS discrete an efficient and promising technology for the next wireless phase design and RIS placement optimization, which is subject generation networks and has attracted a lot of attention owing to coverage probability constraint. Simulation results validate to the capability of extending wireless coverage by reflecting that better coverage performance and higher travel distance signals toward targeted receivers. In this paper, we consider can be achieved with deployment of RIS. The impacts of some a RIS-assisted high-speed train (HST) communication system key system parameters including transmission power, signal-to-to enhance wireless coverage and improve coverage probability. noise ratio threshold, number of RIS elements, number of RIS First, coverage performance of the downlink single-input-single- quantization bits, horizontal distance between base station and output system is investigated, and the closed-form expression RIS, and speed of HST on system performance are investigated. of coverage probability is derived. Moreover, travel distance In addition, it is found that RIS can well improve coverage probability with limited power consumption for HST communications. Copyright © 2023, The Authors. All rights reserved.

关键词： Railroads

Mean Field Game-based Waveform Precoding Design for Mobile Crowd Integrated Sensing, Communication, and Computation Systems

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arXiv 2023年

作者： Wang, Dezhi Huang, Chongwen He, Jiguang Chen, Xiaoming Wang, Wei Zhang, Zhaoyang Han, Zhu Debbah, Mérouane The College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China The State Key Laboratory of Integrated Service Networks Xidian University Xi’an710071 China Hangzhou310027 China Technology Innovation Institute Masdar City Abu Dhabi9639 United Arab Emirates The Department of Electrical and Computer Engineering The University of Houston HoustonTX77004 United States Khalifa University of Science and Technology P O Box 127788 Abu Dhabi United Arab Emirates

Data collection and processing timely is crucial for mobile crowd integrated sensing, communication, and computation (ISCC) systems with various applications such as smart home and connected cars, which requires numerous integrated sensing and communication (ISAC) devices to sense the targets and offload the data to the base station (BS) for further processing. However, as the number of ISAC devices growing, there exists intensive interactions among ISAC devices in the processes of data collection and processing since they share the common network resources. In this paper, we consider the environment sensing problem in the large-scale mobile crowd ISCC systems and propose an efficient waveform precoding design algorithm based on the mean field game (MFG). Specifically, to handle the complex interactions among large-scale ISAC devices, we first utilize the MFG method to transform the influence from other ISAC devices into the mean field term and derive the Fokker-Planck-Kolmogorov equation, which models the evolution of the system state. Then, we derive the cost function based on the mean field term and reformulate the waveform precoding design problem. Next, we utilize the G-prox primal-dual hybrid gradient algorithm to solve the reformulated problem and analyze the computational complexity of the proposed algorithm. Finally, simulation results demonstrate that the proposed algorithm can solve the interactions among large-scale ISAC devices effectively in the ISCC process. In addition, compared with other baselines, the proposed waveform precoding design algorithm has advantages in improving communication performance and reducing cost function. Copyright © 2023, The Authors. All rights reserved.

关键词： Cost functions

The Effect of Device Redundancy in Timeliness of Information

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The Effect of Device Redundancy in Timeliness of Information

IEEE International Conference on Communications (ICC)

作者： Kang Lang Zhengchuan Chen Nikolaos Pappas Howard H. Yang Yunjian Jia Tony Q. S. Quek School of Microelectronics and Communication Engineering Chongqing University Chongqing China State Key Laboratory of Integrated Services Networks Xidian University Xi'an China Department of Computer and Information Science Linköping University Linköping Sweden Zhejiang University/University of Illinois at Urbana-Champaign Institute Zhejiang University Haining China Information System Technology and Design Pillar Singapore University of Technology and Design Singapore

Emerging interaction-based Internet of Things (IoT) applications have stringent demand for timeliness, imposing critical challenges to the design of status update system. Using redundant devices to update the status of the same process is a promising way to improve timeliness, but this approach can result in out of order update arrivals, making it difficult to analyze timeliness. To that end, the present paper conducts a theoretical study toward the Age of Information (AoI) of a multi-queue status update system where multiple sensors observe one physical process and update a common monitor. Based on the stochastic hybrid systems method, the average AoI of the considered system is derived in closed form. The theoretical results are consistent with the simulation results, verifying the correctness of the theoretical analysis. It is shown that the logarithm of the average AoI is linearly decreasing with the logarithm of the number of sensors.

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Discrimination between temperature and strain using fiber Bragg grating inscribed in few-mode silica-germanate fiber

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Discrimination between temperature and strain using fiber Br...

OptoElectronics and Communications Conference

作者： T. Huang S. Fu S. Liu M. Tang D. Liu National Engineering Laboratory of Next Generation Internet Access Networks (NEL-NGIAS) and School of Optical and Electronic Information Huazhong University of Science & Technology School of Computer Science and Technology Huazhong University of Science & Technology

Temperature and strain sensitivities of fiber Bragg grating inscribed in silica-germanate fiber are experimentally investigated. Thanks to the different sensitivities of individual resonance peaks, the configuration h... 详细信息

ISBN: (纸本)9781479950485

关键词： Fiber Bragg gratings Temperature two parameter Discrimination Fiber antimicrobial susceptibility STRAIN SENSITIVITY Vital Signs