检索结果-内蒙古大学图书馆

Opportunistic access control for enhancing security in d2d-enabled cellular networks

Science China(Information Sciences) 2018年第4期61卷 187-198页

作者： Yajun CHEN Xinsheng JI Kaizhi HUANG Bin LI Xiaolei KANG National Digital Switching System Engineering & Technological R&D Center National Mobile Communications Research Laboratory Southeast University National Engineering Lab for Mobile Networking Security School of Information and Electronics Beijing Institute of Technology

In this paper, we investigate secure communication over cellular uplinks in device-to-device(d2 d)-enabled cellular networks. We consider a more general scenario, in which multiple d2 d pairs could simultaneously share the same resource block with a specific cellular user. First, an opportunistic access control scheme based on wireless channel gains is proposed, by which the candidate selected set of d2 d pairs sharing the same resource block is determined. The proposed scheme could guarantee reliable communications for both cellular users and d2 d pairs, and further could combat eavesdroppers while keeping the legitimate cellular user as non-intrusive as possible, regarding d2 d pairs as friendly jammers in a non-collaborative way. Then, we derive theoretical results to characterize the security and reliability of the typical cellular and d2 d links, respectively. To further support the performance of this hybrid network, we next present an interference threshold optimization model. Our aim is to minimize the connection outage probability(COP)of d2 d pairs subject to the secrecy requirement of the cellular user. Finally, simulation results are presented to validate the effectiveness of our proposed scheme.

关键词： device-to-device(d2d) communication opportunistic access control physical layer security(PHY-security) secrecy outage probability(SOP) connection outage probability(COP)

来源：评论

学校读者我要写书评

暂无评论

An Adaptation Method in Noise Mismatch Conditions for dNN-Based Speech Enhancement

An Adaptation Method in Noise Mismatch Conditions for DNN-Ba...

引用

2018 International Conference on Network, Communication, Computer engineering (NCCE 2018)

作者： Siying Xu dan Qu Xingyan Long China National Digital Switching System Engineering & Technological R&D Center

ISBN: (纸本)9781510871076

The deep learning-based speech enhancement has shown considerable ***,it still suffers performance degradation under mismatch *** this paper,an adaptation method is proposed to improve the performance under noise mismatch ***,we advise a noise aware training by supplying identity vectors(ivectors) as parallel input features to adapt dNN acoustic models with the target ***,given a small amount adaptation data,the noise-dependent dNN is obtained by using Euclidean distance regularization from a noiseindependent dNN,and forcing the estimated masks to be close to the unadapted ***,experiments were carried out on different noise and SNr conditions,and the proposed method has achieved significantly 29% benefits of STOI at most and provided consistent improvement in PESQ and seg SNr against the baseline systems.

关键词： Enhancement adaptation method dNN PESQ segSNr STOI

来源：评论

学校读者我要写书评

暂无评论

Active Perceptive dynamic Scheduling Mechanism Based on Negative Feedback

引用

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

来源：评论

学校读者我要写书评

暂无评论

A Correlation-aware diverse Variant Placement to Increase Network resilience

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

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

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

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

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

引用

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

来源：评论

学校读者我要写书评

暂无评论

Shortwave-Position-resource Scheduling Method Based on Signal Quality Estimation via Neural Network and dynamic Weight Adjustment 2017

Shortwave-Position-Resource Scheduling Method Based on Signa...

引用

Proceedings of the International Conference on Imaging, Signal Processing and Communication

作者： Lijia Zhang Jing Zhang Xiaoyi Zhang National Digital Switching System Engineering & Technique R&D Center

ISBN: (纸本)9781450352895

The manual expert scheduling, currently utilized in shortwave position system, is unable to satisfy the modern scenario of intensive tasks and deficient resources, thus resulting in the low position accuracy. To address the problem, we propose a shortwave-position-resource scheduling method based on Back Propagating Neural Network(BPNN) and dynamic Weight Adjustment(dWA). Firstly, we conceive a basic centralized optimization model for problem formulation, constructing an objective function consisted by Geometrical dilution of Precision(GdOP) and signal quality via linear weight summation. Furthermore, we study the dynamic adjustment strategy of weights. With weights updated according to the gradients of factors, the objective function inclines to the factor of better performance during iterations, thus leading to a better optimization searching ability. Moreover, by introducing the Bayesian regulation(Br) and Levenberg-Marquardt(LM) algorithm, we make an improvement on the generalization performance of BPNN, then achieving the signal quality estimation in the shortwave channel. Simulations indicate that the proposed method obtains an excellent robustness in scenes of different tasks number. When compared with other scheduling methods, the proposed method can effectively enhance the location accuracy. Experiments also show that the timeliness of the method is relatively low and needs further improvement.

关键词： Scheduling Shortwave position Neural network dynamic weight

来源：评论

学校读者我要写书评

暂无评论

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

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

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

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：