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Science china(Information Sciences) 2018年第8期61卷 107-131页

作者： Xinsheng JI Kaizhi HUANG Liang JIN Hongbo TANG Caixia LIU Zhou ZHONG Wei YOU Xiaoming XU Hua ZHAO Jiangxing WU Ming YI National Digital Switching System Engineering & Technological R&D Center Zhengzhou 450002 China National Digital Switching System Engineering & Technological R&D Center

The 5 th-generation mobile communication system(5 G) has higher security requirements than previous systems. Accordingly, international standard organizations, operators, and equipment manufacturers are focusing extensively on 5 G security technology. This paper analyzes the security requirements of 5 G business applications, network architecture, the air interface, and user privacy. The development trends of5 G security architecture are summarized, with a focus on endogenous defense architecture, which represents a new trend in 5 G security development. Several incremental 5 G security technologies are reviewed, including physical layer security, lightweight encryption, network slice security, user privacy protection, and block chain technology applied to 5 G.

关键词： 5G security endogenous defense mimic defense physical layer security lightweight encryption network slice security user privacy preservation block chain

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Improving resiliency of Software-defined Networks with Network Coding-based Multipath routing

Improving Resiliency of Software-Defined Networks with Netwo...

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IEEE Symposium on Computers and Communications (ISCC)

作者： Jianjian Ai Hongchang Chen Zehua Guo Guozhen Cheng Thar Baker National Digital Switching System Engineering & Technological R&D Center Beijing Institute of Technology Liverpool John Moores University

Traditional network routing protocol exhibits high statics and singleness, which provide significant advantages for the attacker. There are two kinds of attacks on the network: active attacks and passive attacks. Existing solutions for those attacks are based on replication or detection, which can deal with active attacks; but are helpless to passive attacks. In this paper, we adopt the theory of network coding to fragment the data in the Software-defined Networks and propose a network coding-based resilient multipath routing scheme. First, we present a new metric named expected eavesdropping ratio to measure the resilience in the presence of passive attacks. Then, we formulate the network coding-based resilient multipath routing problem as an integer-programming optimization problem by using expected eavesdropping ratio. Since the problem is NP-hard, we design a Simulated Annealing-based algorithm to efficiently solve the problem. The simulation results demonstrate that the proposed algorithms improve the defense performance against passive attacks by about 20% when compared with baseline algorithms.

关键词： Eavesdropping routing Encoding delays Computers resilience routing protocols

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Undoped Strained Ge Quantum Well with Ultrahigh Mobility Grown by reduce Pressure Chemical Vapor deposition

arXiv

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arXiv 2022年

作者： Kong, Zhenzhen Li, Zonghu Cao, Gang Su, Jiale Zhang, Yiwen Liu, Jinbiao Liu, Jingxiong ren, Yuhui Wei, Laiming Guo, Guoping Wu, Yuanyuan radamson, Henry H. Li, Junfeng Wu, Zhenhua Li, Haiou Yang, Jiecheng Zhao, Chao Wang, Guilei Integrated Circuit Advanced Process R&D Center Institute of Microelectronics Chinese Academy of Sciences Beijing100029 China School of Integrated Circuits University of Chinese Academy of Sciences Beijing100049 China CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei230026 China Hefei National Laboratory Hefei230088 China School of Advanced Manufacturing Engineering Hefei University Hefei230601 China Origin Quantum Computing Company Limited Hefei230026 China Research and Development Center of Optoelectronic Hybrid IC Guangdong Greater Bay Area Institute of Integrated Circuit and System Guangzhou510535 China Beijing Superstring Academy of Memory Technology 100176 China

We fabricate an undoped Ge quantum well under a 30 nm relaxed Ge0.8Si0.2 shallow barrier. The bottom barrier contains Ge0.8Si0.2 (650 ℃) followed by Ge0.9Si0.1 (800 ℃) such that variation of Ge content forms a sharp interface that can suppress the threading dislocation density (Tdd) penetrating into the undoped Ge quantum well. The Ge0.8Si0.2 barrier introduces enough in-plane parallel strain (Ε strain -0.41%) in the Ge quantum well. The heterostructure field-effect transistors with a shallow buried channel obtain an ultrahigh two-dimensional hole gas (2dHG) mobility over 2×106 cm2/Vs and a very low percolation of 5.625 × 1010cm−2. A tunable fractional quantum Hall effect at high densities and high magnetic fields has also been observed. This approach defines strained germanium as providing the material basis for tuning the spin-orbit coupling strength for fast and coherent quantum *** Codes 81-05, 81V70 © 2022, CC BY-NC-Nd.

关键词： Germanium

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research on C-E Fingerprint Extraction of Emitter

Research on C-E Fingerprint Extraction of Emitter

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IEEE Advanced Information technology, Electronic and Automation Control Conference (IAEAC)

作者： Jiaying Yue Liuyang Gao Nae Zheng National Digital Switching System Engineering and Technological R&D Center (NDSC) Information Engineering University (IEU) Zhengzhou CO China

Aiming at the problem of limited presentation ability and easy drift of results for a single feature, a joint fingerprint feature extraction algorithm based on the complexity and entropy of instantaneous parameter (C-E) is proposed. From the perspective of signal information integrity, this paper multi-extract the secondary features of instantaneous amplitude, frequency and phase, and obtain the box dimension, information dimension, information entropy, as well as the Hilbert envelope spectrum information entropy newly proposed in this paper. Finally, the features are fused into C-E features to identify the individual radiation source. Compared with single class features, the recognition rate of the joint features is greatly improved at little time cost. In simulation experiment, the accuracy increases by 15.2% and 19.7% than fractal dimension and entropy respectively. And features have good independence and noise resistance under different environments.

关键词： Feature extraction Entropy Fingerprint recognition Complexity theory Fractals Time-domain analysis data mining

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A sensitivity analysis of attention-gated convolutional neural networks for sentence classification

arXiv

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arXiv 2019年

作者： Liu, Yang Zhang, Jianpeng Gao, Chao Qu, Jinghua Ji, Lixin National Digital Switching System Engineering and Technological R&D Center Zhengzhou450002 China Information Engineering University Zhengzhou450002 China

In this paper, we investigate the effect of different hyperparameters as well as different combinations of hyperparameters settings on the performance of the Attention-Gated Convolutional Neural Networks (AGCNNs), e.g., the kernel window size, the number of feature maps, the keep rate of the dropout layer, and the activation function. We draw practical advice from a wide range of empirical results. Through the sensitivity analysis, we further improve the hyperparameters settings of AGCNNs. Experiments show that our proposals could achieve an average of 0.81% and 0.67% improvements on AGCNN-NLreLU-rand and AGCNN-SELU-rand, respectively;and an average of 0.47% and 0.45% improvements on AGCNN-NLreLU-static and AGCNN-SELU-static, respectively. Copyright © 2019, The Authors. All rights reserved.

关键词： Sensitivity analysis

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Heterogeneous Executors Scheduling Algorithm for Mimic defense systems

Heterogeneous Executors Scheduling Algorithm for Mimic Defen...

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IEEE International Conference on Computer and Communication engineering technology (CCET)

作者： Zhaoqi Wu Jin Wei National Digital Switching System Engineering & Technological R&D Center Zhengzhou China School of Computer Science Fudan University China

A key aspect of the mimetic defense system is the scheduling of heterogeneous executions to ensure that the system is dynamic. The existing scheduling strategy only performs random scheduling to satisfy heterogeneity and service quality. Combined with the historical information of the arbiter in the mimicry defense system, this paper proposed a random seed scheduling algorithm based on historical confidence for maximum heterogeneity and quality of service. First, the seed performer is randomly selected in the historical confidence executor that satisfies the threshold, and then the scheduling scheme is determined according to the maximum heterogeneity type and the quality of service indicator. The simulation results showed that the scheduling period of the algorithm is lower than the random scheduling algorithm. However, the scheduling effect is higher than the random scheduling algorithm, which achieved a good dynamic balance between dynamics, security, and quality of service.

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A High Gain Low Cross Polarization Fabry-Perot Cavity Antenna designed by Strip Line AMC Ground 10

A High Gain Low Cross Polarization Fabry-Perot Cavity Antenn...

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10th International Conference on Microwave and Millimeter Wave technology, ICMMT 2018

作者： Wu, Jun-rno Zhou, dong-Fang Lei, Xue Gao, Jun Hu, Hao-rning Zhang, Zhi-Yong National Digital Switching System Engineering and Technological R and D Center Zhengzhou China

ISBN: (纸本)9781538624166

A high gain low cross polarization Fabry-Perot cavity antenna (FPCA) designed by AMC ground is presented in this paper. In particular, a strip line AMC ground is used to replace the PEC ground in order to reduce the cross polarization level of the FPCA. A compact single layer FPCA with a dimension of 4.2λ0× 4.2λ0 and a profile of 0.5λ0 is designed and simulated. The proposed antenna can reach a peak gain of 20.8dBi at 12.5GHz and the cross polarization level in the 3dB beam-width is below -40dB. © 2018 IEEE.

关键词： Strip telecommunication lines

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A high gain Fabry-Perot cavity antenna designed by modified ray tracking model 14

A high gain Fabry-Perot cavity antenna designed by modified ...

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14th IEEE International Workshop on Antenna technology, iWAT2018

作者： Wu, Jun-Mo Zhou, dong-Fang Lei, Xue Gao, Jun Hu, Hao-Ming National Digital Switching System Engineering and Technological R and D Center Zhengzhou China

ISBN: (纸本)9781538618516

A high gain Fabry-Perot cavity antenna (FPCA) designed by modified ray tracking model(MrTM) is presented in this paper. In particular, the conventional ray tracking is modified in order to calculate the electric field distribution on the partially reflective surface(PrS). Furthermore, the dependence of the magnitude of PrS reflection coefficients on aperture efficiency is studied, which shows that an optimal magnitude exists on aperture efficiency for a fixed size FPCA. By using the optimized reflection coefficient, a final compact single layer FPCA with a dimension of 6.25λ0 × 6.25λ0 and a profile of 0.5λ0 is designed. The proposed antenna can reach a peak gain of 24.0dBi at 12.5GHz and an aperture efficiency of 51.2%. © 2018 IEEE.

关键词： reflection

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A user identity matching method based on integrating account attributes 1

A user identity matching method based on integrating account...

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1st International Conference on Advanced Algorithms and Control engineering, ICAACE 2018

作者： Yang, Y.Z. Yu, H.T. Huang, r.Y. National Digital Switching System Engineering and Technological R and D Center Zhengzhou China

Aiming at the low utilization rate of attribute information and the lack of mining of the correlation among attributes of the existing cross-social network user identity matching algorithms, we proposed an algorithm for user identity matching across social networks utilizing fuzzy measure and Choquet integrals. Firstly, according to the characteristics of different attributes, we determined different similarity calculation strategies;Secondly, we utilized particle swarm optimization method to calculate the fuzzy density of each attribute;Then Choquet integral was utilized to calculate the similarity of two accounts;Finally, the similarity was compared with the preset matching threshold and the final matching result was obtained. The experimental results in multiple sets of data showed that the average F1 value of the proposed algorithm reaching 84.5%. The performance is not only better than traditional machine learning methods, but also better than several baseline algorithms. It can be more accurate to identify the same user's accounts in multiple social networks according to the attribute information. © Published under licence by IOP Publishing Ltd.

关键词： Integral equations

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A combination of rNN and CNN for attention-based relation classification 8

A combination of RNN and CNN for attention-based relation cl...

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8th International Congress of Information and Communication technology, ICICT 2018

作者： Zhang, Xiaobin Chen, Fucai Huang, ruiyang National Digital Switching System Engineering and Techological R and D Center ZhengZhou450002 China

relation classification plays an important role in the field of natural language processing (NLP). Previous research on relation classification has verified the effectiveness of using convolutional neural network (CNN) and recurrent neural network (rNN). In this paper, we proposed a model that combine the rNN and CNN (rCNN), which will Give full play to their respective advantages: rNN can learn temporal and context features, especially long-term dependency between two entities, while CNN is capable of catching more potential features. We experiment our model on the SemEval-2010 Task 8 dataset1, and the result shows that our method is superior to most of the existing methods. © 2018 The Authors. Published by Elsevier Ltd.

关键词： recurrent neural networks

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