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Research on Detection Method of Interest Flooding Attack on Content Centric Network

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Computers, Materials & Continua 2020年第8期64卷 1075-1089页

作者： Yabin xu Ting xu xiaowei xu Beijing Key Laboratory of Internet Culture and Digital Dissemination Research Beijing100101China Beijing Advanced Innovation Center for Materials Genome Engineering Beijing Information Science and Technology UniversityBeijing100101China School of Computer Beijing Information Science&Technology UniversityBeijing100101China Department of Information Science University of Arkansas at Little RockLittle Rock72204USA

To improve the attack detection capability of content centric network(CCN),we propose a detection method of interest flooding attack(IFA)making use of the feature of self-similarity of traffic and the information entropy of content name of interest *** the one hand,taking advantage of the characteristics of self-similarity is very sensitive to traffic changes,calculating the Hurst index of the traffic,to identify initial IFA *** the other hand,according to the randomness of user requests,calculating the information entropy of content name of the interest packets,to detect the severity of the IFA attack,***,based on the above two aspects,we use the bilateral detection method based on non-parametric CUSUM algorithm to judge the possible attack behavior in *** experimental results show that flooding attack detection method proposed for CCN can not only detect the attack behavior at the early stage of attack in CCN,but also is more accurate and effective than other methods.

关键词： CCN interest flooding attack self-similar feature information entropy bilateral detection method

A Prediction Method of Fracture Toughness of Nickel-Based Superalloys

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Computer Systems Science & Engineering 2022年第7期42卷 121-132页

作者： Yabin xu Lulu Cui xiaowei xu School of Computer Beijing Information Science and Technology UniversityBeijing100101China Department of Information Science University of Arkansas at Little RockArkansas72204USA

Fracture toughness plays a vital role in damage tolerance design of materials and assessment of structural *** solve these problems of com-plexity,time-consuming,and low accuracy in obtaining the fracture toughness value of nickel-based superalloys through experiments.A combination prediction model is proposed based on the principle of materials genome engineering,the fracture toughness values of nickel-based superalloys at different temperatures,and different compositions can be predicted based on the existing experimental ***,to solve the problem of insufﬁcient feature extraction based on manual experience,the Deep Belief Network(DBN)is used to extract features,and an attention mechanism module is *** achieve the purpose of strengthen-ing the important features,an attention weight is assigned to each feature accord-ing to the importance of the ***,the feature vectors obtained by the DBN module based on the Attention mechanism(A-DBN)are spliced with the original ***,the prediction accuracy of the model is improved by extracting high-order combined features and low-order linear features between input and output ***,the spliced feature vectors are put into the Support Vector Regression(SVR)model to further improve the regression prediction abil-ity of the *** results of the contrast experiment show that the model can effectively improve the prediction accuracy of the fracture toughness value of nickel-based superalloys.

关键词： Nickel-based superalloys fracture toughness materials genome engineering deep belief network attention mechanism support vector regression

Minimal two-spheres with constant curvature in the quaternionic projective space

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Science China Mathematics 2020年第5期63卷 993-1006页

作者： Jie Fei Chiakuei Peng xiaowei xu Department of Mathematical Sciences Xi’an Jiaotong-Liverpool UniversitySuzhou 215123China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049China Department of Mathematics University of Science and Technology of ChinaHefei 230026China Wu Wen-Tsun Key Laboratory of Mathematics University of Science and Technology of ChinaChinese Academy of SciencesHefei 230026China

In this paper we completely classify the homogeneous two-spheres,especially,the minimal homogeneous ones in the quaternionic projective space *** to our classification,more minimal constant curved two-spheres in HPnare obtained than what Ohnita conjectured in the paper"Homogeneous harmonic maps into complex projective *** J Math,1990,13:87–116".

关键词： minimal two-sphere Gauss curvature quaternionic projective space

Research on Privacy Disclosure Detection Method in Social Networks Based on Multi-Dimensional Deep Learning

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Computers, Materials & Continua 2020年第1期62卷 137-155页

作者： Yabin xu xuyang Meng Yangyang Li xiaowei xu School of Computer Beijing Information Science&Technology UniversityBeijing100101China Beijing Key Laboratory of Internet Culture and Digital Dissemination Research Beijing100101China Innovation Center China Academy of Electronics and Information TechnologyBeijing100041China Department of Information Science University of Arkansas at Little RockLittle Rock72204USA

In order to effectively detect the privacy that may be leaked through social networks and avoid unnecessary harm to users,this paper takes microblog as the research object to study the detection of privacy disclosure in social ***,we perform fast privacy leak detection on the currently published text based on the fastText *** the case that the text to be published contains certain private information,we fully consider the aggregation effect of the private information leaked by different channels,and establish a convolution neural network model based on multi-dimensional features(MF-CNN)to detect privacy disclosure comprehensively and *** experimental results show that the proposed method has a higher accuracy of privacy disclosure detection and can meet the real-time requirements of detection.

关键词： Social networks privacy disclosure detection multi-dimensional features text classification convolutional neural network

Lagrangian submanifolds in complex projective space CPn

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Frontiers of Mathematics in China 2012年第6期7卷 1129-1140页

作者： Xiaoxiang JIAO Chiakuei PENG xiaowei xu School of Mathematical Sciences University of Chinese Academy of Sciences Beijing 100049 China School of Mathematical Sciences University of Science and Technology of China Hefei 230026 China

We first prove a basic theorem with respect to the moving frame along a Lagrangian immersion into the complex projective space CPn. Applying this theorem, we study the rigidity problem of Lagrangian submanifolds in CPn.

关键词： Lagrangian submanifold second fundamental form Maurer-Cartan form

Multiplicative Derivations on Rank-s Matrices for Relatively Small s

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Algebra Colloquium 2023年第2期30卷 281-292页

作者： xiaowei xu Baochuan Xie Yanhua Wang Zhibing Zhao College of Mathematics Jilin UniversityChangchun 130012China School of Mathematics Shanghai Key Laboratory of Financial Information Technology Shanghai University of Finance and EconomicsShanghai 200433China School of Mathematical Sciences Anhui UniversityHefei 230601China

In this paper,we describe multiplicative derivations on the set of all rank-s matrices of Mn(K)over a field K with a relatively small integer ***,for fixed integers n,s satisfying 1≤s≤n/2 and n≥2,we prove that if a map d:Mn(K)→Mn(K)satisfiesδ(xy)=δ(x)y+xδ(y)for any two rank-s matrices,y∈Mn(K),then there exists a derivation D of Mn(K)such thatδ(x)=D(x)for each rank-k matrix a E Mn(K)with 0≤k≤*** an application,we prove that a multiplicative derivation on a special subset of Mn(K)must be a derivation.

关键词： multiplicative derivations rank-s matrices singular matrices

Classification and Early Warning Model of Terrorist Attacks Based on Optimal GCN

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Chinese Journal of Electronics 2020年第6期29卷 1193-1200页

作者： FENG Yong GAI Ming WANG Fuhai WANG Rongbing xu xiaowei College of Information Liaoning University Department of Information Science University of Arkansas at Little Rock

Aiming at the lack of effective quantitative model to support the analysis of terrorist attacks,a multilayer depth Neural network(NN) Graph convolutional networks(GCN) model(NNGCN) was put forward to realize the classification and early warning of terrorist *** proposed model optimized the traditional GCN with the help of complex *** concept of link index was introduced into the NNGCN *** is combined with the important information between event *** information includes the similarity of events and link *** with the original unoptimized model,the improved model increased the classification accuracy of terrorist *** the model uses the node’s feature information and the link relationship of graph structure,it can also warn the sudden terrorist attacks effectively.

关键词： multilayer depth neural network graph convolutional network model Optimisation techniques graph theory Economic, social and political aspects of computing optimisation optimal GCN effective quantitative model classification accuracy unoptimized model terrorist attacks Neural computing techniques early warning model probability Combinatorial mathematics terrorism graph structure neural nets NNGCN model

A Generic Plug-and-Play Navigation Fusion Strategy for Land Vehicles in GNSS-Denied Environment

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Transactions of Nanjing University of Aeronautics and Astronautics 2019年第2期36卷 197-204页

作者： LAI Jizhou BAI Shiyu xu xiaowei Lü Pin Key Laboratory of Navigation Control and Health-Management Technologies of Advanced AerocraftMinistry of Industry and Information TechnologyCollege of Automation EngineeringNanjing University of Aeronautics and Astronautics

Achieving accurate navigation information by integrating multiple sensors is key to the safe operation of land vehicles in global navigation satellite system(GNSS)-denied ***,current multi-sensor fusion methods are based on stovepipe architecture,which is optimized with custom fusion strategy for specific *** to develop adaptable navigation that allows rapid integration of any combination of sensors to obtain robust and high-precision navigation solutions in GNSS-denied environment,we propose a generic plug-and-play fusion strategy to estimate land vehicle *** proposed strategy can handle different sensors in a plug-and-play manner as sensors are abstracted and represented by generic models,which allows rapid reconfiguration whenever a sensor signal is additional or lost during *** estimations are fused with absolute sensors based on improved factor graph,which includes sensors’error parameters in the non-linear optimization process to conduct sensor online *** evaluate the performance of our approach using a land vehicle equipped with a global positioning system(GPS)receiver as well as inertial measurement unit(IMU),camera,wireless sensor and *** is not integrated into the system but treated as ground *** are compared with the most common filtering-based fusion *** shows that our strategy can process low-quality input sources in a plug-and-play and robust manner and its performance outperforms filtering-based method in GNSS-denied environment.

关键词： GNSS-denied multi-sensor fusion plug-and-play factor graph land vehicles

Surface modification of up-conversion luminescence material Na[Y_(0.57)Yb_(0.39)Er_(0.04)]F_4 with hydrosulfide group

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Journal of University of Science and Technology Beijing 2008年第5期15卷 605-610页

作者： Lili Cui Huili Fan Junping Xiao xiaowei xu Dong Su Applied Science School University of Science and Technology Beijing Beijing 100083 China Materials Science and Engineering School University of Science and Technology Beijing Beijing 100083 China Civil ＆ Environment Engineering School University of Science and Technology Beijing Beijing 100083 China

A new method was reported for surface modification of an up-conversion luminescence material with hydrosulfide group. The factors that may influence the surface modification,such as reaction time,amount of catalyzer and modifier,and reaction solvent,were investigated. The optimal conditions were that the reaction time,the quantity of the basic catalyzer,the quantity of modifier and the volume of reaction solvent were 40 min,1.0,1.0,and 40 mL,respectively. The results indicated that hydrosulfide group content modified on the surface of up-conversion luminescence material reached to 0.1430 mmol/g,and this modified up-conversion luminescence material could be widely used in the study of structure of protein and the property of microenvironment.

关键词： upconversation surface modification luminescence material hydrosulfide react condition