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Decoy-state quantum-key-distribution-based quantum private query with error tolerance bound

Physical Review A 2024年第5期109卷 052442-052442页

作者： Bin Liu Zhonghao Liang Wei Huang Fei Gao Jiayi Yuan Bingjie Xu College of Computer Science The State Key Laboratory of Networking and Switching Technology Center for Network and Information Science and Technology on Communication Security Laboratory Institute of Southwestern Communication Chengdu 610041 China

Quantum private query (QPQ) faces many challenges in practical applications. At present, some scholars have made substantial work on overcoming channel loss, channel noise, and nonideal light sources, respectively. However, a protocol that would overcome all three of these problems has yet to materialize. We review a practical QPQ protocol that can actually work in noisy channels. This protocol has an upper bound on tolerable errors based on the required level of security and reliability. Then, we study the security of the above QPQ protocol under weak coherent pulses. The results indicate that the multiphoton pulses have induced significant vulnerabilities, which seriously threatens the privacy of users. Finally, we propose a decoy-state method to solve the serious threat to user security caused by multiphoton pulses. The analysis shows that the decoy-state method significantly improves the security of the QPQ protocol under weak coherent pulses. The improved protocol can not only tolerate transmission losses and channel noise, but also overcome the security vulnerability caused by a nonideal light source.

关键词： Quantum communication Quantum error correction Quantum information theory Quantum protocols Quantum state transfer

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A Robust and Scalable One-PUF-to-Many Authentication and Key Agreement Scheme for Mobile communication Network

A Robust and Scalable One-PUF-to-Many Authentication and Key...

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2023 International Conference on Networking and Network Applications, NaNA 2023

作者： Wang, Yiteng Ren, Zhe Wang, Wei School of Cyber Engineering Xidian University Xi'an China The 36th Research Institute of China Electronics Technology Group Corporation Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9798350327380

Under the multi-cloud environment of mobile communication networks, unattended terminals would possibly be involved in different tasks. For the network security, terminals should be authenticated by cloud service providers (CSPs) before being involved in various tasks. As a new cryptology primitive, Physical Unclonable Function (PUF) can be served as a trusted root for unattended terminals and provide security property against physical attacks, based on which physical secure authentication can be executed. However, applying the PUF directly to the multi-cloud environment caused the authentication scheme to rely on the storage of the primitive challenge-response pairs, and there was a single point of failure problem. To solve these issues, we propose an authentication and key agreement scheme named RSOPM for secure authentication between terminals and CSPs. Specifically, mutual authentication without the storage of the primitive challenge-response pairs on the cloud is enabled by exploiting the trapdoor collision property of the chameleon hash function. Moreover, the redactable blockchain containing distributed registration information makes a terminal register only once, and then the terminal gains access to the various CSPs. The security properties are discussed to show our scheme resists various attacks. The results of experiments show that the overall delay is reduced by 33 % compared to other multi-cloud authentication schemes. © 2023 IEEE.

关键词： Authentication

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Sharding Technologies in Blockchain: Basics, State of the Art, and Challenges 5th

Sharding Technologies in Blockchain: Basics, State of the...

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5th International Conference on Blockchain and Trustworthy Systems, BlockSys 2023

作者： Zhang, Luyi Wang, Yujue Ding, Yong Liang, Hai Yang, Changsong Li, Chunhai Guangxi Key Laboratory of Cryptography and Information Security School of Computer Science and Information Security Guilin University of Electronic Technology Guilin541004 China Hangzhou Innovation Institute Beihang University Hangzhou310052 China Cyberspace Security Research Center Peng Cheng Laboratory Shenzhen518055 China School of Information and Communication Guilin University of Electronic Technology Guilin541004 China

ISBN: (纸本)9789819981007

Sharding is one of the key technologies of blockchain scalable characteristics widely used in cryptocurrencies, Internet of Things, supply chain management and other fields. It can achieve high performance scaling without reducing the decentralization of blockchain, thus solving the problems of insufficient scalability and low throughput of blockchain. In this paper, the characteristics of some classical sharding technologies are analyzed in terms of performance and implementation. The key mechanisms of sharding are summarized, including sharding formation, reshuffle, intra-shard consensus protocol, and cross-shard protocol. Also, the advantages and shortcomings of typical scalability schemes are summarized, including state channel, DAG, and side chain. We summarize the current challenges faced by sharding technology from intra-shard, and cross-shard, and provide an outlook on the development prospects and future research directions in this field. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Blockchain

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Vector Approximate Message Passing with Sparse Bayesian Learning for Gaussian Mixture Prior

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China communications 2023年第5期20卷 57-69页

作者： Chengyao Ruan Zaichen Zhang Hao Jiang Jian Dang Liang Wu Hongming Zhang National Mobile Communications Research Laboratory Frontiers Science Center for Mobile Information Communication and SecuritySoutheast UniversityNanjing 210096China Purple Mountain Laboratories No.9 Mozhou East RoadNanjing 211111China School of Artificial Intelligence Nanjing University of Information Science and TechnologyNanjing 210044China School of Information and Communication Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China

Compressed sensing(CS)aims for seeking appropriate algorithms to recover a sparse vector from noisy linear ***,various Bayesian-based algorithms such as sparse Bayesian learning(SBL)and approximate message passing(AMP)based algorithms have been *** SBL,it has accurate performance with robustness while its computational complexity is high due to matrix *** AMP,its performance is guaranteed by the severe restriction of the measurement matrix,which limits its application in solving CS *** overcome the drawbacks of the above algorithms,in this paper,we present a low complexity algorithm for the single linear model that incorporates the vector AMP(VAMP)into the SBL structure with expectation maximization(EM).Specifically,we apply the variance auto-tuning into the VAMP to implement the E step in SBL,which decrease the iterations that require to converge compared with VAMP-EM algorithm when using a Gaussian mixture(GM)*** results show that the proposed algorithm has better performance with high robustness under various cases of difficult measurement matrices.

关键词： sparse Bayesian learning approximate message passing compressed sensing expectation propagation

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On the Performance of NOMA Over Coded Caching in Cache-Aided Wireless Network 8

On the Performance of NOMA Over Coded Caching in Cache-Aided...

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8th IEEE International Conference on Network Intelligence and Digital Content, IC-NIDC 2023

作者： Ma, Yuanyuan Zhi, Ruxin Xu, Zhan Ministry of Information Industry Beijing Information Science and Technology University Key Laboratory of Information and Communication Systems Beijing100101 China Ministry of Education Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Beijing100101 China

ISBN: (纸本)9798350317923

This paper centers around the examination of a downlink system comprising of a base station (BS) located at the center of a circular cell. Within this cell, we find cache-equipped users uniformly distributed. Our aim is to explore an innovative approach to enhance spectral efficiency by dividing the users into two groups, effectively utilizing the principles of nonorthogonal multiple access (NOMA) and coded caching. Introducing the NOMA over coded caching scheme, we propose a novel method to elevate the service rate. We derive closedform expressions to accurately quantify the performance of NOMA over coded caching in terms of the service rate. Simulation experiments are conducted to validate the superiority of our proposed algorithm. The results demonstrate the remarkable efficacy of the NOMA over coded caching schemes in significantly improving the service rate, surpassing the conventional coded caching and non-encoding caching schemes. © 2023 IEEE.

关键词： Spectrum efficiency

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100 km Discrete-Modulated Continuous-Variable Quantum Key Distribution Using Probabilistic Shaped 16QAM

100 km Discrete-Modulated Continuous-Variable Quantum Key Di...

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2024 Asia communications and Photonics Conference, ACP 2024 and International Conference on information Photonics and Optical communications, IPOC 2024

作者： Pan, Yan Li, Yang Wu, Mingze Zhang, Yichen Wang, Heng Huang, Wei Shao, Yun Xu, Bingjie Liu, Jinlu National Key Laboratory of Security Communication Institute of Southwestern Communication Chengdu610041 China State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei230026 China

We first experimentally demonstrated discrete-modulated continuous-variable quantum key distribution over 100.93 km of standard single-mode fiber using probabilistic shaped 16QAM. The results show that a secret key ra... 详细信息

ISBN: (纸本)9798350379266

关键词： Single mode fibers

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Research on Covariance Matrix and Freedom Degree of GNSS Anti-jamming Array 6

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

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6th International Conference on Signal and Image Processing, ICSIP 2021

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

ISBN: (纸本)9780738133737

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. © 2021 IEEE.

关键词： Covariance matrix

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Phased Array Full-Duplex for Concurrent Multifunction: Architecture and Implementation 13

Phased Array Full-Duplex for Concurrent Multifunction: Archi...

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13th International Conference on Microwave and Millimeter Wave technology, ICMMT 2021

作者： Chen, Shunyang Chen, Jiarui Huang, Xiaoguo Chen, Linglu Zhang, Qi Chen, Binhui Zhu, Menglei Science And Technology On Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9781665434379

In this article, the realization of concurrent multifunction in phased array full-duplex platforms is discussed. For modern complex electromagnetic environment, an efficient architecture is needed to accomplish the concurrent working of several different functions, such as communication, radar, spectrum sensing and so on. First, we establish a novel architecture based on the phased array system to effectively incorporate current approaches useful for realizing concurrent multifunction. Then, a prototype implementation based on multi-objective beamforming is proposed to demonstrate the role of digital methods in cancelling self-interferenc. Finally, simulation and experimental results are exhibited to prove the result of the proposed method. © 2021 IEEE.

关键词： Architecture

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Signals of Opportunity Navigation Using LTE Downlink Signals 22

Signals of Opportunity Navigation Using LTE Downlink Signals

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22nd IEEE International Conference on communication technology, ICCT 2022

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

ISBN: (纸本)9781665470674

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. © 2022 IEEE.

关键词： Navigation

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Hyper-Tuned Convolutional Neural Networks for Authorship Verification in Digital Forensic Investigations

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Computers, Materials & Continua 2023年第8期76卷 1947-1976页

作者： Asif Rahim Yanru Zhong Tariq Ahmad Sadique Ahmad Mohammed A.ElAffendi School of Computer and Information Security Guilin University of Electronic TechnologyGuilin541004China Guangxi Key Laboratory of Intelligent Processing of Computer Images and Graphics Guilin University of Electronic TechnologyGuilin541004China School of Information and Communication Guilin University of Electronic TechnologyGuilin541004China EIAS:Data Science and Blockchain Laboratory College of Computer and Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia

Authorship verification is a crucial task in digital forensic investigations,where it is often necessary to determine whether a specific individual wrote a particular piece of *** Neural Networks(CNNs)have shown promise in solving this problem,but their performance highly depends on the choice of *** this paper,we explore the effectiveness of hyperparameter tuning in improving the performance of CNNs for authorship *** conduct experiments using a Hyper Tuned CNN model with three popular optimization algorithms:Adaptive Moment Estimation(ADAM),StochasticGradientDescent(SGD),andRoot Mean Squared Propagation(RMSPROP).The model is trained and tested on a dataset of text samples collected from various authors,and the performance is evaluated using accuracy,precision,recall,and F1 *** compare the performance of the three optimization algorithms and demonstrate the effectiveness of hyperparameter tuning in improving the accuracy of the CNN *** results show that the Hyper Tuned CNN model with ADAM Optimizer achieves the highest accuracy of up to 90%.Furthermore,we demonstrate that hyperparameter tuning can help achieve significant performance improvements,even using a relatively simple model architecture like *** findings suggest that the choice of the optimization algorithm is a crucial factor in the performance of CNNs for authorship verification and that hyperparameter tuning can be an effective way to optimize this ***,this paper demonstrates the effectiveness of hyperparameter tuning in improving the performance of CNNs for authorship verification in digital forensic *** findings have important implications for developing accurate and reliable authorship verification systems,which are crucial for various applications in digital forensics,such as identifying the author of anonymous threatening messages or detecting cases of plagiarism.

关键词： Convolutional Neural Network(CNN) hyper-tuning authorship verification digital forensics

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