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Security for cyberspace:challenges and opportunities

Frontiers of Information Technology & Electronic engineering 2018年第12期19卷 1459-1461页

作者： Jiang-xing WU Jian-hua LI Xin-sheng JI National Digital Switching System Engineering & Technological R&D Center School of Cyber Security Shanghai Jiao Tong University

Nowadays,cyberspace has become the "fifth frontier"after the ocean,land,air,and *** the globalization of information,cyberspace has never faced so many challenges,such as principle innovation,theory innovation,technology innovation,and application ***,the transition from traditional cyberspace to new cyberspace is inevitable. In the future,cyberspace will have many important characteristics,such as openness,heterogeneity,mobility,dynamism,and security.

关键词： Security for cyberspace Sea land air space

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dIN: A Bio-Inspired distributed Intelligence Networking 16th

DIN: A Bio-Inspired Distributed Intelligence Networking

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16th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2019

作者： Li, Yufeng du, Yankang Cao, Chenhong Qiu, Han School of Computer Engineering and Science Shanghai University Shanghai200023 China National Digital Switching System Engineering and Technology R&D Center Zhengzhou450002 China

ISBN: (纸本)9783030307080

Software-defined Networking (SdN) is a promising method to simplify network management and facilitate network evolution. However, SdN is a logically centralized technology with global network-wide view. It faces the problem of scalability and reliability. In this paper, we propose a novel method termed as distributed Intelligence Networking (dIN). dIN optimizes network management based on distributed coordination of multiple forwarding nodes like the coordination in bird flocking motion, it is a fully physically and logically distributed structure based on neighbor network-wide view. This architecture naturally has the advantage of scalability and reliability. © 2019, IFIP International Federation for Information Processing.

关键词： Software defined networking

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Context-Based Synthetic data for Logo recognition

Context-Based Synthetic Data for Logo Recognition

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International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)

作者： Yuchao Jiang Chao Gao Lixin Ji Yancheng Wu National Digital Switching System Engineering & Technological R&D Center Zhengzhou China

In order to solve the problem of sparse training samples in logo recognition task, a multi-type context-based logo data synthesis algorithm is proposed. The algorithm comprehensively utilizes the local and full context of the logo object and the scene image to guide the synthesis of the logo image. The experimental results on the FlickrLogos-32 show that the proposed algorithm can greatly improve the performance of the logo recognition algorithm without relying on additional manual annotation, verify the validity of the synthesis algorithm, and further prove that multi-type context can improve the performance of the object recognition algorithm.

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A proactive defense mechanism for mobile communication user data

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Science China(Information Sciences) 2018年第10期61卷 266-268页

作者： Caixia LIU Xinsheng JI Jiangxing WU Xiao QIN The National Digital Switching System Engineering & Technological R&D Center Department of Computer Science and Software Engineering Samuel Ginn College of EngineeringAuburn University

dear editor,Several studies have recently reported on major vulnerabilities in the Signaling system No.7 (SS7)used in mobile networks [1, 2]. The reported vulnerabilities and security issues would lead to the illegal acquisition and tampering of mobile communication user data, known as cellphone user data. The cellphone user data contain important information such as identity identification, location identification, security parameter-set. due to

关键词： A proactive defense mechanism for mobile communication user data MSISdN

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Natural-logarithm-rectified activation function in convolutional neural networks

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

Activation functions play a key role in providing remarkable performance in deep neural networks, and the rectified linear unit (reLU) is one of the most widely used activation functions. Various new activation functions and improvements on reLU have been proposed, but each carry performance drawbacks. In this paper, we propose an improved activation function, which we name the natural-logarithm-rectified linear unit (NLreLU). This activation function uses the parametric natural logarithmic transform to improve reLU and is simply defined as f (x) = ln(β. max(0, x) + 1.0). NLreLU not only retains the sparse activation characteristic of reLU, but it also alleviates the "dying reLU" and vanishing gradient problems to some extent. It also reduces the bias shift effect and heteroscedasticity of neuron data distributions among network layers in order to accelerate the learning process. The proposed method was verified across ten convolutional neural networks with different depths for two essential datasets. Experiments illustrate that convolutional neural networks with NLreLU exhibit higher accuracy than those with reLU, and that NLreLU is comparable to other well-known activation functions. NLreLU provides 0.16% and 2.04% higher classification accuracy on average compared to reLU when used in shallow convolutional neural networks with the MNIST and CIFAr-10 datasets, respectively. The average accuracy of deep convolutional neural networks with NLreLU is 1.35% higher on average with the CIFAr-10 dataset. Copyright © 2019, The Authors. All rights reserved.

关键词： Chemical activation

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Compact Tunable Balanced dual-band Bandpass Filter Using Tri-Stub Loaded resonator

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Journal of Physics: Conference Series 2021年第1期1914卷

作者： Hong Yang dewei Zhang Junjie Zhang Xian Wang Chenqing Pan Zhuang Ma Yufan Fu China National Digital Switching System Engineering and Technology R&D Center Zhengzhou 450001 China.

This letter proposes a tunable balanced dual-band bandpass filter (BPF) with high common-mode (CM) suppression based on tri-stub loaded resonator (TSLr). Two TSLrs terminated with varactor diodes are employed to obtain the tunable second differential-mode (dM) passband, which is independent of the first one. For validation, a tunable balanced dual-band BPF is designed, fabricated and measured that achieve the continuous frequency-tuning range of the second dM passband from 5.968 to 6.368 GHz with constant 3dB fractional bandwidth (FBW) of 6.8% ± 0.17% and CM rejection levels of over 30 dB. The measured results agree well with the simulated ones.

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An Intelligent Evaluation Model for decision Scheme Based on deep Learning

An Intelligent Evaluation Model for Decision Scheme Based on...

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第二届人工智能、网络与信息技术国际研讨会

作者： Wei Ou Zhaohui Yi Lan Cheng Ying Liao The Border and Coastal Defense College China National Digital Switching System Engineering & Technological R&D Center

Studying and constructing the intelligent decision-making model for simulation entity can effectively improve the credibility and immersion of wargaming, in which intelligent evaluation of decision scheme is the key module. To lower the reasoning complexity and shorten the decision time, an intelligent evaluation model based on Stacked Auto-Encoder(SAE) is proposed, which simulates the reasoning mode of human decision-making, and learns commander's knowledge and experience through unsupervised and supervised training. Then, to improve the robustness and generalization ability of the deep learning model, a de-noising training method and sparsity constraints are introduced. Finally, simulation experiment is carried out to verify the scientificity and effectiveness of the proposed model.

关键词： SAE An Intelligent Evaluation Model for decision Scheme Based on deep Learning Model

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Overview of 5G security technology

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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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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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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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