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self-organized Public-Key Management for Mobile Ad Hoc Networks Based on a Bidirectional Trust Model

Wuhan University Journal of Natural Sciences 2006年第1期11卷 188-192页

作者： FU Cai HONG Fan LI Rui-xian HONG Liang CHEN Jing College of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 Hubei China

In traditional networks , the authentication is performed by certificate authoritys（CA）,which can＇t be built in distributed mobile Ad Hoc Networks however. In this pa per, we propose a fully self-organized public key management based on bidirectional trust model without any centralized authority that allows users to generate their public-private key pairs, to issue certificates, and the trust relation spreads rationally according to the truly human relations. In contrast with the traditional self-organized public-key management, the average certificates paths get more short, the authentication passing rate gets more high and the most important is that the bidirectional trust based model satisfys the trust re quirement of hosts better.

关键词： Ad Hoc networks self-organize bidirectional trust public key management.

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Churn Forecast Based on Two-step Classification in Security Industry

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Intelligent Information Management 2011年第4期3卷 160-165页

作者： Ying Li Ziyang Deng Qiang Qian Rui Xu School of Business East China University of Science and Technology Shanghai China

Customer is a determinant factor that decides whether a security company will be alive. As a result, the competition for customers is more and more intense between security companies. In order to avoid profit decrease caused by churn, security companies must find those customers who have the loss risk and make measures to maintain loyal customers. Now it is the question that how to find and analyze those customers. In this paper, a two-step classification method about churn Analysis is proposed and the problem of churn in security is analyzed.

关键词： Customer Segmentation Churn self-organize Map Neural Network Decision Tree

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self-organization of non-random mono-synaptic networks in cultured neurons

Self-organization of non-random mono-synaptic networks in cu...

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中国神经科学学会第十届全国学术会议

作者： Xiao-Xing ZHANG Ye-Fei LI Ye RONG Hao YU Hui-Fang LOU Cheng-Yu LI Shu-Min DUAN Lab of Synaptic Development and Plasticity Institute of NeuroscienceShanghai Institutes of Biological SciencesChinese Academy of Sciences Lab of Synaptic Development and Plasticity Institute of NeuroscienceMedical School of Zhejiang University

The comprehension and analysis of the complexity of neural networks are fundamental to our understanding of the dynamics and cognitive functions of the *** from cellular level to the whole brain have proved that structural connections in both micro- and macro-scale neural networks are not random but exhibit many complex-network ***,the conditions and mechanisms underlying the development of these non-random structural features,as well as their biological significances,are still not *** answers to these questions could benefit from a direct study of the non-random network features in early-developing neural *** this study,we cultured mice hippocampal neurons in vitro,and investigated non-random structural features in developing neural circuits independent of anatomical brain structures and behavioral *** multi-channel whole cell patch recordings and GAD-GFP transgenic mice whose GABAergic neurons are tagged by fluorescence,we were able to distinguish and detect both glutamatergic and GABAergic mono-synapse,and record *** found that,cultured neurons self-organized into non-random mono-synaptic neural networks that exhibited complex network features which were also found in neural networks in the brain but not in randomly connected *** example,the numbers of certain network motifs,as well as the numbers of neurons with multiple output connections exceeded expectations;synaptic connections clustered in local neuronal subgroups;synaptic weights positively correlated to the numbers of GABA connections in local *** on these findings,we proposed a rule that is capable of explaining the self-organizations of complex neural networks during early development:the probability of synapse formation between a pair of neurons depends on neuron types,and is negatively correlated to the distance between the neurons and positively correlated to the number of outgoing connections already formed on

关键词： neural network cultured neural network self-organize complex network non-random early development

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