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Active Perceptive dynamic Scheduling Mechanism Based on Negative Feedback

Procedia Computer Science 2018年 131卷 520-524页

作者： Yingying Lv Yunfei Guo Qiang Chen Guozhen Cheng Yang Chen National Digital Switching System Engineering & Technological R&D Center Zhengzhou 450002 Henan China

With the popularization of the Internet, the production and living of people and even the security development of the country have been more and more dependent on cyberspace, the importance of cyberspace has become increasingly prominent. Network security should be paid more and more attention to. Mimicry defense is one of active defense technologies. We focused on the dHr architecture and give a research on mimicry scheduling mechanism based on negative feedback and we have analyzed the feasibility of this method in theory.

关键词： mimicry defense active defense negative feedback

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Fd-SP: A Method for Predicting Cascading Failures of Inter-domain routing system

FD-SP: A Method for Predicting Cascading Failures of Inter-d...

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International Conference on Computer and Communications (ICCC)

作者： Han Qiu Huihu Zhu Yufeng Li Ziyi Zeng National Digital Switching System Engineering and Technological R&D Center Zhengzhou China

ISBN: (纸本)9781538683408

Cascading failures are a severe threat to inter-domain routing system, while little has been done to detect and report impacts. To address the problem, we analyze the process of cascading failure in the inter-domain routing system, and find that it is constructed by two stages as key nodes/links failure and related nodes/links cascading failure. The first stage is shorter as the onset time is seconds' level, while the second stage is longer as the onset time is at least one hour. Then a two-phase detection method Fd-SP mechanism is put forward, the first stage of which adopts real-time detection methods to identify the initial failure nodes and links and the second stage uses dF 2 -CFM model to predict the damage range of cascade failure before true propagation. To validate Fd-SP, it is applied to security events containing cascading failures and the results of Fd-SP are compared with the datasets collected from rIPE during security events. Using the number of Update messages received by nodes as the metric, the maximum relative error is 1.69 and the average one is 0.92. As our prediction is a little large than reality, the false negative rate of Fd-SP is low.

关键词： Power system faults Power system protection routing Peer-to-peer computing Internet Kinetic theory Predictive models

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International Conference on Computational Intelligence and Applications (ICCIA)

作者： Xiaojuan Wang Ying Zeng Jun Shu Chi Zhang Bin Yan National Digital Switching System Engineering & Technological R&D Center Zhengzhou China

ISBN: (纸本)9781538695722;9781538695715

Eye movements obtained during eye tracking include both the fixation location and cognitive activities of the subject when viewing the remote sensing images. Aiming at the problem that the existing region of interest analysis methods based on the eye movement do not determine whether the area contains targets or not, in this paper a method was presented to predict the targets in the regions of interest using cognitive activities from eye movement. The method realized the detection and location of targets in remote-sensing images through the combination of fixation location and cognitive activity in eye movements. Experiments showed that the cognitive activities related to fixations make significant contribution to target prediction in the remote sensing image with complex backgrounds.

关键词： Feature extraction remote sensing Object detection Visualization Semantics Gaze tracking Image color analysis

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A Correlation-aware diverse Variant Placement to Increase Network resilience

A Correlation-aware Diverse Variant Placement to Increase Ne...

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International Conference on Computer and Communications (ICCC)

作者： Jianjian Ai Hongchang Chen Guozhen Cheng National Digital Switching System Engineering and Technological R&D Center Zhengzhou China

ISBN: (纸本)9781538683408

due to the high homogeneity of current routing infrastructure, the resilience of the network is facing a serious threat when a defective software upgrade or a denial-of-service attack occurs. Many existing works adopt heterogeneity philosophy to improve the resilience of the network. For example, diverse variants are placed to nodes in the network. However, the existing works assume that diverse variants do not have common vulnerabilities, which is an invalid assumption in some real networks. Therefore, the existing diverse variant placement algorithms could not achieve optimal performance. In this paper, we consider the situation that some variants have common vulnerabilities. We model the correlation-aware diverse variant placement problem as an integer-programming optimization problem. Since the problem is NP-hard, we design a Simulated Annealing-based algorithm to efficiently solve the problem. The simulation results show that compared with baseline algorithms, the proposed algorithms can effectively improve network resilience about 15%.

关键词： resilience Network topology routing Topology Mathematical model Simulated annealing Measurement

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N-Fold Superposition: Improving Neural Networks by reducing the Noise in Feature Maps

N-Fold Superposition: Improving Neural Networks by Reducing ...

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International Conference on Audio, Language and Image Processing, ICALIP

作者： Yang Liu Qiang Qu Chao Gao National Digital Switching System Engineering & Technological R&D Center Zhengzhou China

Considering the use of Fully Connected (FC) layer limits the performance of Convolutional Neural Networks (CNNs), this paper develops a method to improve the coupling between the convolution layer and the FC layer by reducing the noise in Feature Maps (FMs). Our approach is divided into three steps. Firstly, we separate all the FMs into n blocks equally. Then, the weighted summation of FMs at the same position in all blocks constitutes a new block of FMs. Finally, we replicate this new block into n copies and concatenate them as the input to the FC layer. This sharing of FMs could reduce the noise in them apparently and avert the impact by a particular FM on the specific part weight of hidden layers, hence preventing the network from overfitting to some extent. Using the Fermat Lemma, we prove that this method could make the global minima value range of the loss function wider, by which makes it easier for neural networks to converge and accelerates the convergence process. This method does not significantly increase the amounts of network parameters (only a few more coefficients added), and the experiments demonstrate that this method could increase the convergence speed and improve the classification performance of neural networks.

关键词： Frequency modulation Convolution Kernel Couplings Convergence Biological neural networks

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Multi-label Extreme Learning Machine Based on Label Matrix Factorization 2

Multi-label Extreme Learning Machine Based on Label Matrix F...

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2017 IEEE 2nd International Conference on Big data Analysis（ICBdA 2017）

作者： Li Sihao Chen Fucai Huang ruiyang Xie Yixi National Digital Switching System Engineering & Technological R&D Center

ISBN: (纸本)9781509036202

Multi-label learning aims to predict the label sets an instance belongs *** Learning Machine(ELM),as a single-hidden layer feedforward neural network algorithm,has been extended to multi-label scenarios because of faster learning speed and less human *** at dealing with the problem of ignoring the inter-label dependencies,the proposed method,ELM-LMF,decomposes the label matrix into latent label matrix mapping the label space to the latent space and the k-label dependency matrix preserving the interlabel relationships,classifies in latent space with ELM,and maps the predicted labels back to the original *** on 3 benchmark multi-label data sets with 3 other state-of-art methods prove the feasibility of ELM-LMF.

关键词： extreme learning machine multi-label learning label matrix factorization classification machine learning

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An Approach for detecting Spammer Invasion Events with Poisson Process

An Approach for Detecting Spammer Invasion Events with Poiss...

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International Conference on Mechanical, Control and Computer engineering (ICMCCE)

作者： Qiang Qu Hongtao Yu ruiyang Huang National Digital Switching System Engineering & Technological R&D Center Zhengzhou China

The following topics are dealt with: feature extraction; control system synthesis; learning (artificial intelligence); production engineering computing; three-term control; design engineering; optimisation; pattern cl... 详细信息

关键词： Handheld computers Security Event detection Process control

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Collaborative Filtering Algorithm Based on denoising Auto-Encoder and Item Embedding 2

Collaborative Filtering Algorithm Based on Denoising Auto-En...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Yudong Guo Yongwang Tang National Digital Switching System Engineering and Technological R&D Center

An collaborative filtering algorithm based on denoising Auto-Encoder and item embedding(CdAWE) was proposed to solve the absent analysis of item co-occurrence relation and the cold start of model para

ISBN: (纸本)9781467389808

关键词： Training Matrix decomposition Prediction algorithms Noise reduction Context modeling Sparse matrices Load modeling

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Pathological grading of Hepatocellular Carcinomas in MrI using a LASSO algorithm 1

Pathological grading of Hepatocellular Carcinomas in MRI usi...

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1st International Conference on Physics, Mathematics and Statistics, ICPMS 2018

作者： Gao, Fei Yan, Bin Chen, Jian Wu, Minghui Shi, dapeng National Digital Switching System Engineering and Technological R and D Center Henan Province ZhengZhou China Department of Radiology Henan General Hospital Henan Province ZhengZhou China

To investigate the predictive ability of radiomics signature for preoperative pathological grading of Hepatocellular Carcinomas (HCC), the no contrast MrI images were integrated and a comprehensive analysis was conducted to predict clinical outcomes using the radiomics features. Variable selection via LASSO and logistic regression were used to select the most-predictive radiomics features for the pathological grading. Cross-Validation with receiver operating characteristic (rOC) analysis was performed and the area under the rOC curve (AUC) was employed as the prediction metric. Overall, the prediction performances by radiomics features showed statistically significant correlations with pathological grading, however, improvement on the prediction performance by combining T1WI and T2WI data, classification performance obtained the AUC 0.829 in training dataset and the AUC 0.742 in validation dataset. This study consisted of 170 consecutive patients (training dataset: n=125;validation dataset, n=45). The results showed radiomics signature was developed and validated to be a significant predictor for discrimination HCC pathological grading, which may serve as a complementary tool for the preoperative tumour grading in HCC. © Published under licence by IOP Publishing Ltd.

关键词： Grading

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Hardware Acceleration resource Allocation Mechanism for VNF

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Procedia Computer Science 2018年 131卷 746-755页

作者： Hongwei Fan Yuxiang Hu Shaojun Zhang Quan ren National Digital Switching System Engineering & Technological R&D Center Kim Street No. 7 Zhengzhou 450000 China

Improving the performance for VNF (Virtualized Network Function) by hardware acceleration is a hot research topic in SdN/NFV architecture. After introducing the acceleration resource for VNF, how to implement uniform deployment and allocation of the acceleration resources is an urgent problem to be solved. Thus in this paper, a unified deployment architecture of acceleration resource for VNF is proposed firstly. On the basis of architecture, the problem of acceleration resource allocation is modeled. By analyzing the influence of acceleration resource for VNF on deployment of service chains, we propose the evaluation index of acceleration resource allocation algorithm for VNF. Finally, we design a two-stage acceleration resource allocation algorithm to solve the problem. The experimental results show that the proposed algorithm can rationally allocate acceleration resources to nodes in the entire network and improve the efficiency of acceleration resource utilization.

关键词： SdN/NFV Virtualized Network Function Hardware Acceleration resource Allocation

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