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A Distributed Self-Tallying Electronic Voting System Using the Smart Contract

Chinese Journal of Electronics 2024年第4期33卷 1063-1076页

作者： Jingyu YAO Bo YANG Tao WANG Wenzheng ZHANG School of Computer Science Shaanxi Normal University State Key Laboratory of Integrated Services Networks Xidian University Science and Technology on Communication Security Laboratory

For electronic voting(e-voting) with a trusted authority, the ballots may be discarded or tampered, so it is attractive to eliminate the dependence on the trusted party. An e-voting protocol, where the final voting result can be calculated by any entity, is known as self-tallying e-voting protocol. To the best of our knowledge, addressing both abortive issue and adaptive issue simultaneously is still an open problem in self-tallying e-voting *** Ethereum blockchain with cryptographic technologies, we present a decentralized self-tallying e-voting protocol. We solve the above problem efficiently by utilizing optimized Group Encryption Scheme and standard Exponential El Gamal Cryptosystem. We use zero-knowledge proof and homomorphic encryption to protect votes' secrecy and achieve self-tallying. All ballots can be verified by anyone and the final voting result can be calculated by any entity. In addition, using the paradigm of score voting and “1-out-of-k” proof, our e-voting system is suitable for a wide range of application scenarios. Experiments show that our protocol is more competitive and more suitable for large-scale voting.

关键词： Electronic voting systems Smart contracts Blockchains Cryptocurrency Electronic voting Homomorphic encryption Standards

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Decomposition-based learning in drone-assisted wireless-powered mobile edge computing networks

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Digital communications and networks 2024年第6期10卷 1769-1781页

作者： Xiaoyi Zhou Liang Huang Tong Ye Weiqiang Sun State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong UniversityShanghai 200240China College of Computer Science and Technology Zhejiang University of TechnologyHangzhou 310058China

This paper investigates the multi-Unmanned Aerial Vehicle(UAV)-assisted wireless-powered Mobile Edge Computing(MEC)system,where UAVs provide computation and powering services to mobile *** aim to maximize the number of completed computation tasks by jointly optimizing the offloading decisions of all terminals and the trajectory planning of all *** action space of the system is extremely large and grows exponentially with the number of *** this case,single-agent learning will require an overlarge neural network,resulting in insufficient ***,the offloading decisions and trajectory planning are two subproblems performed by different executants,providing an opportunity for *** thus adopt the idea of decomposition and propose a 2-Tiered Multi-agent Soft Actor-Critic(2T-MSAC)algorithm,decomposing a single neural network into multiple small-scale *** the first tier,a single agent is used for offloading decisions,and an online pretrained model based on imitation learning is specially designed to accelerate the training process of this *** the second tier,UAVs utilize multiple agents to plan their *** agent exerts its influence on the parameter update of other agents through actions and rewards,thereby achieving joint *** results demonstrate that the proposed algorithm can be applied to scenarios with various location distributions of terminals,outperforming existing benchmarks that perform well only in specific *** particular,2T-MSAC increases the number of completed tasks by 45.5%in the scenario with uneven terminal ***,the pretrained model based on imitation learning reduces the convergence time of 2T-MSAC by 58.2%.

关键词： Mobile-edge computing Multi-agent reinforcement learning Offloading decision Trajectory planning Unmanned aerial vehicle Wireless power transfer

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Vector Segment Routing for Large-Scale Multilayer Satellite Network

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Journal of communications and Information networks 2023年第1期8卷 24-36页

作者： Weigang Bai Hongming Yang Jincheng Tong Zhaotao Qin Ruochen Lyu Xidian University Xi’an 710000 Science and Technology on Communication Networks Laboratory Shijiazhuang 050000China China Academy of Space Technology Beijing 100000China

With the expansion of satellite constellation,routing techniques for small-scale satellite networks have problems in routing overhead and forwarding *** paper proposes a vector segment routing method for large-scale multi layer satellite networks.A vector forwarding path is built based on the location between the source and the *** packets are forwarded along this vector path,shielding the influence of satellite motion on routing ***,a dynamic route maintenance strategy is *** a multi layer satellite network,the low-orbit satellites are in charge of computing the routing tables for one area,and the routing paths are dynamically adjusted in the area in accordance with the *** medium-orbit satellites maintain the connectivity of vector paths in multiple segmented *** forwarding mode based on the source and destination location improves the forwarding efficiency,and the segmented route maintenance mode decreases the routing *** simulation results indicate that vector segment routing has significant performance advantages in end-to-end delay,packet loss rate,and throughput in a multi layer satellite *** also simulate the impact of routing table update mechanism on network performance and overhead and give the performance of segmented vector routing in multi layer low-orbit satellite networks.

关键词： routing technique routing overhead vector segment routing network load throughput

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A Physical Security technology Based upon Doubly Multiple Parameters Weighted Fractional Fourier Transform

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China communications 2024年第10期21卷 200-209页

作者： Li Yong Sun Teng Sha Xuejun Song Zhiqun Wang Bin Science and Technology on Communication Networks Laboratory Shijiazhuang 050081China The 54th Research Institute of China Electronics Technology Group Corporation Shijiazhuang 050081China Harbin Institute of Technology Harbin 150001China

Enhancing the security of the wireless communication is necessary to guarantee the reliable of the data transmission, due to the broadcast nature of wireless channels. In this paper, we provide a novel technology referred to as doubly multiple parameters weighted fractional Fourier transform(DMWFRFT), which can strengthen the physical layer security of wireless communication. This paper introduces the concept of DM-WFRFT based on multiple parameters WFRFT(MP-WFRFT), and then presents its four properties. Based on these properties, the parameters decryption probability is analyzed in terms of the number of parameters. The number of parameters for DM-WFRFT is more than that of the MP-WFRFT,which indicates that the proposed scheme can further strengthen the the physical layer security. Lastly, some numerical simulations are carried out to illustrate that the efficiency of proposed DM-WFRFT is related to preventing eavesdropping, and the effect of parameters variety on the system performance is associated with the bit error ratio(BER).

关键词： doubly multiple parameters weighted fractional Fourier transform(DM-WFRFT) physical layer security transform parameters variety

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Selective PNC in Satellite-Terrestrial Network over Non-Identical Fading Channels

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China communications 2022年第12期19卷 197-206页

作者： Zhen Li Mingchuan Yang Gang Wang Donglai Zhao Communication Research Center Harbin Institute of TechnologyHarbin 150080China Science and Technology on Communication Networks Laboratory Shijiazhuang 050002China

We analyze the performance of a twoway satellite-terrestrial decode-and-forward(DF) relay network over non-identical fading *** particular,selective physical-layer network coding(SPNC) is employed in the proposed network to improve the average end-to-end throughput *** specifically,by assuming that the DF relay performs instantaneous throughput comparisons before performing corresponding protocols,we derive the expressions of system instantaneous bit-error-rate(BER),instantaneous end-to-end throughput,average end-to-end throughput,single node detection(SND)occurrence probability and average end-to-end BER over non-identical fading ***,theoretical analyses and Monte Carlo simulation results are *** show that:1) SPNC protocol outperforms the conventional physical-layer network coding(PNC) protocol in infrequent light shadowing(ILS),average shadowing(AS) and frequent heavy shadowing(FHS) Shadowed-Rician fading channels.2) As the satellite-relay channel fading gets more sewere,SPNC protocol can achieve more performance improvement than PNC protocol and the occurrence probability of SND protocol increases progressively.3) The occurrence probability increase of SND has a beneficial effect on the average end-to-end throughput in low signal-to-noise ratio(SNR) regime,while the occurrence probability decrease of SND has a beneficial effect on the average end-to-end BER in highSNR regime.

关键词： satellite-terrestrial relay network selective physical-layer network coding(SPNC) average end-to-end throughput Shadowed-Rician fading

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Optimization Transmission Schedule based on Information Value in Remote State Estimation 9

Optimization Transmission Schedule based on Information Valu...

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9th International Conference on Computer and communications, ICCC 2023

作者： Gan, Ruimeng Wang, Yangyang Jia, Zekun Li, Jin Xiao, Zhe Academy for Network & Communication of Cetc Science and Technology on Communication Networks Laboratory Shijiazhuang China

ISBN: (纸本)9798350317251

In this paper, the issue of designing transmission schedule for remote state estimation system for multiple dynamical processes is investigated. As the limited capacity of wireless channel, it is no possible that all observation information can be transmitted at any time. Furthermore, the information value of each observation information can be realized at the estimator is different. For this consideration, the problem of sensor selection, aiming to maximize the system performance is studied. We first formulate this problem as an integer programming problem to derive the optimal transmission strategy, and the penalty function method is utilized to reduce such problem as unconstrained one. Then, the ant colony optimization policy is utilized to optimize the transmission schedule. Lastly, numerical results are given to validate the effectiveness of the proposed algorithm. © 2023 IEEE.

关键词： Ant colony optimization

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Load Distribution of Base Stations in User-Centric Heterogeneous UDN

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China communications 2023年第9期20卷 227-234页

作者： Xuanli Wu Xu Chen Ziyi Xie Wei Wu Tianzhu Pan Yong Li Communication Research Center Harbin Institute of TechnologyHarbin 150006China Science and Technology on Communication Networks Laboratory Shijiazhuang 130100China 54th Research Institute of China Electronics Technology Corporation Shijiazhuang 130100China

In ultra-dense networks(UDN),multiple association can be regarded as a user-centric pattern in which a user can be served by multiple base stations(BSs).The data rate and quality of service can be ***,BSs in user-centric paradigm are required to serve more users due to this multiple association *** improvement of system performance may be limited by the improving load of *** this letter,we develope an analytical framework for the load distribution of BSs in heterogeneous user-centric *** on open loop power control(OLPC),a user-centric scheme is considered in which the clustered serving BSs can provide given signal to interference plus noise ratio(SINR)for any typical *** for any BS in different tiers,by leveraging stochastic geometry,we derive the Probability Mass Function(PMF)of the number of the served users,the Cumulative Distribution Function(CDF)of total power consumption,and the CDF bounds of downlink sum data *** accuracy of the theoretical analysis is validated by numerical simulations,and the effect the system parameters on the load of BSs is also presented.

关键词： heterogeneous ultra-dense network load distribution open loop power control stochastic geometry user-centric

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Weighted sum power maximization for STAR-RIS-aided SWIPT systems with nonlinear energy harvesting

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science China(Information sciences) 2024年第10期67卷 343-358页

作者： Weiping SHI Cunhua PAN Feng SHU Yongpeng WU Jiangzhou WANG Yongqiang BAO Jin TIAN School of Network and Communication Nanjing Vocational College of Information Technology National Mobile Communications Research Laboratory Southeast University School of Information and Communication Engineering Hainan University School of Electronic and Optical Engineering Nanjing University of Science and Technology Shanghai Key Laboratory of Navigation and Location Based Services Shanghai Jiao Tong University School of Engineering University of Kent School of Information and Communication Engineering Nanjing Institute of Technology Engineering School of Networks and Telecommunications Jinling Institute of Technology

The conventional reconfigurable intelligent surface(RIS) is limited to reflecting incident signals,thereby imposing constraints on the placement of the transmitter and receiver, which hinders achieving comprehensive signal coverage across an entire area. This paper investigates a simultaneously transmitting and reflecting(STAR)-RIS-aided simultaneous wireless information and power transfer(SWIPT) system with a nonlinear energy harvesting model under three different RIS transmission protocols: energy splitting(ES),time switching(TS), and mode switching(MS). The objective of this paper is to maximize the weighted sum power(WSP) of all energy harvesting receivers(EHRs) while ensuring fairness in the collected power among them. This is achieved by jointly optimizing the transmit beamforming at the base station(BS)and the transmission and reflection coefficients at the STAR-RIS, subject to rate constraints for information decoding receivers(IDRs), transmit power constraint at the BS, and coefficient constraints of each element at the STAR-RIS corresponding to the three protocols. Solving this optimization problem poses challenges because of the complicated objective function and numerous coupled optimization variables of the ES STAR-RIS. To address this complexity, an efficient alternating optimization(AO) approach is proposed as an iterative solution method that achieves suboptimal results. The AO algorithm is then extended to MS STAR-RIS and TS STAR-RIS. Specifically, for MS STRA-RIS, binary constraints in the STAR-RIS coefficient optimization subproblem are handled using the first-order approximation technique along with the penalty function method. For TS STAR-RIS, apart from optimizing BS transmit beamforming and STAR-RIS coefficients subproblems, the transmission and reflection time allocation of STAR-RIS also needs *** findings demonstrate that compared to conventional RIS-aided systems, utilizing three different protocols in a STAR-RIS-aided sy

关键词： STAR-RIS beamforming SWIPT alternating optimization nonlinear energy harvesting

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CIL4EMTD: A Novel Class Incremental Learning Method for Encrypted Malware Traffic Detection 9

CIL4EMTD: A Novel Class Incremental Learning Method for Encr...

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9th IEEE International Conference on Data science in Cyberspace, DSC 2024

作者： Li, Jiarui Du, Lei Chen, Yilu Zeng, Liyi Li, Hao Gu, Zhaoquan School of Computer Science and Technology Shenzhen China Pengcheng Laboratory Department of New Networks Shenzhen China National Key Laboratory of Advanced Communication Networks Shijiazhuang China

ISBN: (纸本)9798350391367

With the widespread adoption of traffic encryption technologies, detecting attack behaviors in encrypted malware traffic has become a critical and challenging problem. The encrypted malware traffic contains a lot of redundant information and noise, which necessitates additional computational resources. In addition, new attack categories continue to emerge over time, resulting in traditional detection methods losing effectiveness in identifying these new attacks. To handle the above challenge, in this paper, we propose CIL4EMTD, a novel Class Incremental Learning method targeted for Encrypted Malware Traffic Detection. Our method leverages clustering techniques to enrich the extraction of dataset features, while specifically customizing LwF for detecting encrypted malware to optimize the stability of model training via efficient knowledge distillation. To verify the effectiveness of CIL4EMTD, we conduct experiments comparing it with other class incremental learning methods. The experiment results show that CIL4EMTD demonstrates state-of-the-art performance on a real-world dataset, achieving a recognition accuracy of 94.34% for new categories while maintaining the average accuracy for known categories within a margin of less than a 10% decline. © 2024 IEEE.

关键词： Adversarial machine learning

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Discussion on the Distributed Multi-Satellite Cooperative Transmission technology for Multi-User Broadband Smartphones Directly Connected to LEO Satellites 15

Discussion on the Distributed Multi-Satellite Cooperative Tr...

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15th International Conference on communication Software and networks, ICCSN 2023

作者： Wang, Dongdong Sun, Chenhua Liu, Lizhe Zhang, Zijian Yang, Shunyao Li, Jianwei Zheng, Zuxiang Wang, Xiujie Academy for Network & Communications of Cetc Science and Technology on Communication Networks Laboratory Shijiazhuang China

ISBN: (纸本)9798350329360

In this paper, we propose a novel distributed multi- satellite cooperative transmission (DMCT) system model. Based on the analysis of the channel correlation between multiple antennas of multiple satellites and multiple antennas of a single smartphone in this model, we design three types of connection modes under different scenario configurations by drawing on terrestrial mature MIMO technologies. Then, we further discuss and analyze the application limitations and main characteristics of each connection mode. Finally, we discuss several key technologies that need to be conquered for the implementation of the proposed DMCT based system. © 2023 IEEE.

关键词： Smartphones

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