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arXiv 2020年

作者： Huang, Weinan Zhang, Yichen Zheng, Ziyong Li, Yang Xu, Bingjie Yu, Song State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China Science and Technology on Security Communication Laboratory Institute of Southwestern Communication Chengdu610041 China

A quantum random-number generator (QRNG) can theoretically generate unpredictable random numbers with perfect devices and is an ideal and secure source of random numbers for cryptography. However, the practical implementations always contain imperfections, which will greatly influence the randomness of the final output and even open loopholes to eavesdroppers. Recently, Thewes et al. experimentally demonstrated a continuous-variable eavesdropping attack, based on heterodyne detection, on a trusted continuous-variable QRNG in Phys. Rev. A 100, 052318 (2019), yet like in many other practical continuous-variable QRNG studies, they always supposed the local oscillator was stable and ignored its fluctuation which might lead to security threats such as wavelength attack. In this work, based on the theory of the conditional min-entropy, imperfections of the practical security of continuous-variable QRNGs are systematically analyzed, especially the local oscillator fluctuation under imbalanced homodyne detection. Experiments of a practical QRNG based on vacuum fluctuation are demonstrated to show the influence of local oscillator fluctuation on the total measurement noise variances and the practical conditional min-entropy with beam splitters of different transmittances. Moreover, a local oscillator monitoring method is proposed for the practical continuous-variable QRNG, which can be used to calibrate the practical conditional min-entropy. Copyright © 2020, The Authors. All rights reserved.

关键词： security systems

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A Patient Centric Agent Assisted Private Blockchain on Hyperledger Fabric for Managing Remote Patient Monitoring

A Patient Centric Agent Assisted Private Blockchain on Hyper...

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International Conference on Electrical and Computer Engineering (ICECE)

作者： Md. Anwar Hussen Wadud T. M. Amir-Ul-Haque Bhuiyan Md Ashraf Uddin Md. Motiur Rahman Mawlana Bhashani Science and Technology University Bangladesh Institute of Information and Communication Technology Bangladesh University of Engineering and Technology Internet Commerce Security Laboratory Federation University Australia Australia

ISBN: (数字)9781665422543

ISBN: (纸本)9781665446617

Recently, during the COVID-19 situation, the requirement and importance of tracking patients from a remote location have increased significantly. Most patients now prefer to obtain their doctor's care and check their health status through their mobile phone call, Skype, Facebook Messenger, or other online resources. There is, however, a major concern about the privacy of patients when using online resources. Patients usually choose to keep their information confidential, which should be only accessible to authorized individuals. The most current remote patient monitoring system is organization-centric and patient's privacy and security rely on healthcare providers' mercy. Blockchain technologies have attracted the attention of researchers for designing eHealth applications to provide patients with secure and privacy-preserving health services. Blockchain researchers have recently proposed some models for remote patient monitoring systems. However, most of those researchers have applied public blockchains where health data is available to all participants with the property of data tamper-proof. In this paper, we propose a novel remote patient monitoring model using a decentralized private blockchain to protect patient's privacy and increase the system's efficiency. The private blockchain will be implemented on Hyperledger Fabric where a Patient-centric Agents (PCA) manage patient's data and coordinate authorization to form a secure channel to transmit data to the private blockchain. A hybrid consensus by combining Proof of Integrity (PoI) and Proof of Validity (PoV) is used to protect data privacy and integrity when retrieving data from a blockchain-based cloud database. Finally, the Merkle Tree algorithm was used for data processing and authentication when collecting data and uploading it to a cloud database.

关键词： Patient monitoring Privacy Distributed ledger Databases Social networking (online) Blockchain Fabrics

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Research on Nonlinear Frequency Compression Method of Hearing Aid with Adaptive Compression Ratio

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Computer Modeling in Engineering & sciences 2019年第11期121卷 551-567页

作者： Xia Wang Hongming Shen Huawei Tao Ruiyu Liang Xing Deng Haijian Shao Li Zhao Cairong Zou School of Information Science and Technology Nantong UniversityNantong226019China School of Information Science and Engineering Henan University of TechnologyZhengzhou450001China School of Communication Engineering Nanjing Institute of TechnologyNanjing211167China School of Automation Key Laboratory of Measurement and Control for CSEMinistry of EducationSoutheast UniversityNanjing210096China School of Computer Science Jiangsu University of Science and TechnologyZhenjiang212003China School of Information Science and Engineering Southeast UniversityNanjing210096China

To make full use of the residual audible frequency band of hearing-loss patients and improve the intelligibility of speech,an adaptive nonlinear frequency compression(NFC)algorithm is proposed,which amplifies signals below the cutoff frequency while compresses signals above the cutoff ***,high-frequency signals are decomposed to critical band signals according to the BARK ***,the global compression ratio is determined according to the patient's cutoff frequency and maximum audible ***,the sub-band compression ratio is adaptively determined based on the global compression ratio and normalized average energy of subband ***,the high frequency signals are transposed to low frequency bands by compression mapping,and the phases are adjusted to the same as the original low frequency *** results of speech intelligibility with nine subjects demonstrate that compared to conventional amplitude amplification and nonlinear frequency compression algorithms the proposed algorithm significantly improves the intelligibility of initials and sentences,while not affects the intelligibility of finals and tones significantly.

关键词： Frequency compression sensorineural hearing loss hearing aids

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High-speed Gaussian modulated continuous-variable quantum key distribution with a local local oscillator based on pilot-tone-assisted phase compensation

arXiv

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arXiv 2020年

作者： Wang, Heng Pi, Yaodi Huang, Wei Li, Yang Shao, Yun Yang, Jie Liu, Jinlu Zhang, Chenlin Zhang, Yichen Xu, Bingjie Science and Technology on Communication Security Laboratory Institute of Southwestern Communication Chengdu610041 China State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China

A high-speed Gaussian modulated continuous-variable quantum key distribution (CVQKD) with a local local oscillator (LLO) is experimentally demonstrated based on pilot-tone-assisted phase compensation. In the proposed scheme, the frequency-multiplexing and polarization-multiplexing techniques are used for the separate transmission and heterodyne detection between quantum signal and pilot tone, guaranteeing no crosstalk from strong pilot tone to weak quantum signal and different detection requirements of low-noise for quantum signal and high-saturation limitation for pilot tone. Moreover, compared with the conventional CVQKD based on homodyne detection, the proposed LLO-CVQKD scheme can measure X and P quadrature simultaneously using heterodyne detection without need of extra random basis selection. Besides, the phase noise, which contains the fast-drift phase noise due to the relative phase of two independent lasers and the slow-drift phase noise introduced by quantum channel disturbance, has been compensated experimentally in real time, so that a low level of excess noise with a 25km optical fiber channel is obtained for the achievable secure key rate of 7.04 Mbps in the asymptotic regime and 1.85 Mbps under the finite-size block of 107 Copyright © 2020, The Authors. All rights reserved.

关键词： Heterodyne detection

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Two-stage solution of quantum process tomography in the natural basis

Two-stage solution of quantum process tomography in the natu...

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IEEE Conference on Decision and control

作者： Shuixin Xiao Yuanlong Wang Daoyi Dong Jun Zhang School of Engineering and Information Technology University of New South Wales Canberra ACT Australia UMich-SJTU Joint Institute Shanghai Jiao Tong University Shanghai China Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China Centre for Quantum Computation and Communication Technology (Australian Research Council) Centre for Quantum Dynamics Griffith University Brisbane Queensland Australia

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

Quantum process tomography (QPT) is a critical task for characterizing the dynamics of quantum systems and achieving precise quantum control. In this paper, we propose an effective two-stage solution (TSS) for QPT in the natural basis. Our algorithm has O(d 6 ) computational complexity where d is the dimension of the quantum system. We establish an error bound $O\left( {\frac{{{d^5}}}{{\sqrt N }}} \right)$ where N is the copy number for each output state. The numerical examples compared with a convex optimization algorithm demonstrate the effectiveness of our algorithm.

关键词： Quantum system Error analysis Heuristic algorithms Process control Tomography Quantum state Convex functions

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RePAD: Real-time Proactive Anomaly Detection for Time Series

arXiv

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arXiv 2020年

作者： Lee, Ming-Chang Lin, Jia-Chun Gran, Ernst Gunnar Department of Information Security and Communication Technology Norwegian University of Science and Technology Ametyst-bygget Gjøvik2815 Norway Simula Research Laboratory Fornebu1364 Norway

During the past decade, many anomaly detection approaches have been introduced in different fields such as network monitoring, fraud detection, and intrusion detection. However, they require understanding of data pattern and often need a long off-line period to build a model or network for the target data. Providing real-time and proactive anomaly detection for streaming time series without human intervention and domain knowledge is highly valuable since it greatly reduces human effort and enables appropriate countermeasures to be undertaken before a disastrous damage, failure, or other harmful event occurs. However, this issue has not been well studied yet. To address it, this paper proposes RePAD, which is a Real-time Proactive Anomaly Detection algorithm for streaming time series based on Long Short-Term Memory (LSTM). RePAD utilizes short-term historical data points to predict and determine whether or not the upcoming data point is a sign that an anomaly is likely to happen in the near future. By dynamically adjusting the detection threshold over time, RePAD is able to tolerate minor pattern change in time series and detect anomalies either proactively or on time. Experiments based on two time series datasets collected from the Numenta Anomaly Benchmark demonstrate that RePAD is able to proactively detect anomalies and provide early warnings in real time without human intervention and domain knowledge. Copyright © 2020, The Authors. All rights reserved.

关键词： Time series

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An Optimized Method of Packet Loss Rate under Backup Path Protection in OBS Network

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Journal of Physics: Conference Series 2021年第1期1746卷

作者： Aodong Meng Yucheng Chen Jiahao Dai Yongqun Chen Science and Technology on Communication Information Security Control Laboratory Jiaxing China No.36 Research Institute of CETC Jiaxing China

In order to calculate the packet loss rate in OBS network, this paper proposes a method, which performs good in both accuracy and rapidity, based on Erlang B formula to estimate the packet loss probability in OBS network using backup path protection mechanism. This method can be used to optimize the design of OBS network protocol, and it also provides an accurate and efficient approximate calculation method of packet loss rate in OBS network and can be conductive to the study of using copy transmission to enhance the network survivability. Based on the formula of Erlang B, this paper briefly introduces the derivation process and principle of this method. The basic experimental principles of simulation and estimation processes are designed in this paper, and the experimental results of the proposed method under a typical network topology (ARPA network) with no protection mechanism and 1 and 2 backup paths protection mechanisms are analyzed to verify its rapidity and accuracy. The results of experiments show the accuracy and efficiency of this method.

关键词：

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Improved cryptanalysis of step-reduced SM3

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science China(information sciences) 2018年第3期61卷 226-227页

作者： Yanzhao SHEN Dongxia BAI Hongbo YU Key Laboratory of Cryptologic Technology and Information Security Ministry of EducationShandong University School of Mathematics Shandong University Department of Computer Science and Technology Tsinghua University Science and Technology on Communication Security Laboratory

SM3 is the Chinese hash standard and is standardized in GB/T 32905-2016[1].As a hash function,it must fulfill three security requirements,collision resistance,preimage resistance,and second preimage *** the ongoing ev... 详细信息

关键词： CF In SM Improved cryptanalysis of step-reduced SM3

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Wireless communication Signal Strength Prediction Method Based on the K-nearest Neighbor Algorithm 5th

Wireless Communication Signal Strength Prediction Method Bas...

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5th International Conference of Pioneer Computer Scientists, Engineers and Educators, ICPCSEE 2019

作者： Chen, Zhao Xiong, Ning Wang, Yujue Ding, Yong Xiang, Hengkui Tang, Chenjun Liu, Lingang Zou, Xiuqing Luo, Decun Key Lab on Cognitive Radio and Information Processing School of Information and Communication Guilin University of Electronic Technology Guilin541004 China Guangxi Key Laboratory of Cryptography and Information Security School of Computer Science and Information Security Guilin University of Electronic Technology Guilin541004 China

ISBN: (纸本)9789811501173

Existing interference protection systems lack automatic evaluation methods to provide scientific, objective and accurate assessment results. To address this issue, this paper develops a layout scheme by geometrically modeling the actual scene, so that the hand-held full-band spectrum analyzer would be able to collect signal field strength values for indoor complex scenes. An improved prediction algorithm based on the K-nearest neighbor non-parametric kernel regression was proposed to predict the signal field strengths for the whole plane before and after being shield. Then the highest accuracy set of data could be picked out by comparison. The experimental results show that the improved prediction algorithm based on the K-nearest neighbor non-parametric kernel regression can scientifically and objectively predict the indoor complex scenes’ signal strength and evaluate the interference protection with high accuracy. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Spectrum analyzers

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Direction Modulation Design for UAV Assisted by IRS with Discrete Phase Shift

IEEE Transactions on Green Communications and Networking

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IEEE Transactions on Green communications and Networking 2025年

作者： Li, Maolin Gao, Wei Wu, Qi Shu, Feng Pan, Cunhua Wu, Di Hainan University School of Information and Communication Engineering Haikou570228 China Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering Shanghai200240 China Beijing Jiaotong University State Key Laboratory of Rail Traffic Control and Safety Beijing100044 China Hainan University School of Information and Communication Engineering Collaborative Innovation Center of Information Technology Haikou570228 China Nanjing University of Science and Technology School of Electronic and Optical Engineering Nanjing210094 China Southeast University National Mobile Communications Research Laboratory China

As a physical layer security technology, directional modulation (DM) can be combined with intelligent reflect-ing surface (IRS) to improve the security of drone communications. In this paper, a directional modulation scheme assisted by the IRS is proposed to maximize the transmission rate of unmanned aerial vehicle (UAV) secure communication. Specifically, with the assistance of the IRS, the UAV transmits legitimate information and main-tains its constellation pattern at the location of legitimate users on the ground, while the constellation pattern is disrupted at the eavesdropper’s location. In order to solve the joint optimization problem of digital weight coefficients, UAV position, and IRS discrete phase shift, firstly, the digital weight vector and UAV position are optimized through power minimization. Secondly, three methods are proposed to optimize IRS phase shift, namely vector trajectory (VT) method, cross entropy vector trajectory (CE-VT) algorithm, and block coordinate descent vector trajectory (BCD-VT) algorithm. Compared to traditional cross entropy (CE) methods and block coordinate descent (BCD) methods, the proposed CE-VT and BCD-VT algorithms can improve transmission rate performance. The numerical results validate the effectiveness of the optimization scheme in IRS assisted UAV communication. © 2017 IEEE.

关键词： Drones

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