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SUAS: Scalable user authentication scheme for secure accessing to cloud-based environments

SUAS: Scalable user authentication scheme for secure accessi...

引用

international conference on Computer Applications and Industrial Electronics (ICCAIE)

作者： Faraz Fatemi Moghaddam Rama Roshan Ravan Touraj Khodadadi Yashar Javadianasl Abbasali Halalzadeh Faculty of Computer Science and IT U.P.M. University Selangor Malaysia Advanced Informatics School Universiti Teknologi Malaysia Kuala Lumpur Malaysia Malaysia-Japan International Institute of Technology (MJIIT) Universiti Teknologi Malaysia Kuala Lumpur Malaysia

Cloud computing is an emerging technology that uses the concepts of virtualization, storage, and sharing to store and share resources between users and enterprises. This newfound technology is still unclear to many security problems and one of the most challenging issues in these environments is the reliability of the user authentication process. Therefore, this paper offers an efficient and scalable user authentication scheme for cloud-based environments. The proposed model uses the concepts of agents, cryptography, and key exchanging to enhance and improve the performance of the user authentication and the rate of scalability in cloud-based environments respectively. For achieving to this purpose, the proposed model has been presented based on three main agents: first user authentication agent, second user authentication agent and key manager agent. These agents have divided the process of user authentication and managing keys into several parts to improve the rate of efficiency in this process. Furthermore, the suggested model tries to resist against possible attacks. SUAS, as the suggested model was introduced and simulated in this paper for evaluating the performance and security of the scheme. In overall, the results show that the proposed model has considerable advantages for using in cloud-based environment to increase the salacity, reliability and efficiency of cloud computing models as an emerging technology.

关键词： Authentication Cloud computing Encryption Computational modeling Servers

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Trust Evaluation Method Handling Multi-factors for C2C E-Commerce

Trust Evaluation Method Handling Multi-factors for C2C E-Com...

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Zhihao Shen Beijun Shen School of Software Shanghai Jiao Tong University 800 Dongchuan Road,Shanghai 200240,China

With the development of E-commerce,especially the rapid growth of C2C market,trust plays the key role in the electronic *** now,there are still some shortcomings at the on-line evaluation *** on the analysis of the trust relationship features,this paper raises the trust evaluation principles in C2C *** the paper proposes a new trust evaluation method for C2C E-commerce,which is based on fuzzy logic and handles the factors including time,money, domain and personal relationship that are often ignored before. Finally some examples are to explain the trust evaluation method. The method for trust evaluation in this paper can provide reliable credit evaluation and help people to avoid the frauds in C2C E-Commerce.

关键词： trust evaluation fuzzy logic C2C E-commerce

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Forecasting House Price Index of China Using Dendritic Neuron Model

Forecasting House Price Index of China Using Dendritic Neuro...

引用

2016 ieee international conference on progress in informatics and computing

作者： Ying Yu Shuangbao Song Tianle Zhou Hanaki Yachi Shangce Gao Faculty of Engineering University of Toyama

The result of Chinese housing market continues to prosper or not is related to the development of China, and further it also has an impact on the world finance. Thus forecasting the house price index is very important and *** this paper we propose an unsupervised learnable neuron model(DNM) by including the nonlinear interactions between excitation and inhibition on dendrites. We use DNM to fit the House Price Index(HPI) data and then forecast the trends of Chinese housing market. To verify the effectiveness of the DNM, we use a traditional statistical model(i.e., the exponential smoothing(ES) model) to make a performance comparison. Three quantitative statistical metrics including normalized mean square error, absolute percentage of error, and correlation coefficient are used to evaluate the forecasting performance of the two *** results demonstrate that the proposed DNM is better than ES in all of the three quantitative statistical metrics.

关键词： Dendritic neuron model house price index prediction exponential smoothing

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Towards an Integrated Multimodal Transportation Dashboard

Towards an Integrated Multimodal Transportation Dashboard

引用

17th international ieee conference on Intelligent Transportation Systems & The Asia-Pacific Council on Systems Engineering conference 2014

作者： Ana Zaiat Rosaldo J.F.Rossetti Ricardo J.S.Coelho Artificial Intelligence and Computer Science Laboratory Department of Informatics EngineeringFaculty of EngineeringUniversity of Porto

Many sophisticated Information Systems(IS) focusing on management and supervision problems in the transportation arena exist in the contemporary *** traffic management systems,rail traffic management systems and many more are here to face everyday ***,in spite of a huge progress in this area,systems that combine multiple transport modes for management purposes are a very *** article proposes a solution for the monitoring of the operational state of multimodal transportation systems in a single *** experimental solution is applied to the transport network of the city of Porto,Portugal,as a case *** problem includes such major components as(1) input information and its sources,(2) model(metrics,calculation algorithms) and(3) visualization metaphors.A proposed solution is a dashboard that provides a comprehensive view on the operational state,or Level of Service(LOS),of transportation systems of different *** a system is expected to become an essential tool for transport system monitoring and management,supplying the necessary information for strategic and emergency planning to the authorities and other decision makers in the sector.

关键词： Towards an Integrated Multimodal Transportation Dashboard

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An Abstract Scene Model for Version Control towards Cooperative Product Design

An Abstract Scene Model for Version Control towards Cooperat...

引用

2016 ieee international conference on progress in informatics and computing

作者： Yan Zhang Hongming Cai ZTE Corporation School of Software Shanghai Jiao Tong University

Aiming to manage 3D models with high efficiency in distributed web environment, an abstract scene model is proposed for version control in the disposing process of cooperative design. The abstract scene model is consisted of multi-layer models which combined with operation history graph, cooperative scene and X3D models. Based on this unified multilayer scene model, some independent private branch of a cooperative scene could be constructed for different designers in a cooperative team, then conflict detection and resolution could be carried out to merge branches into a united scene. For the reason that data transmission of 3D models is decreased, an effective working manner for asynchronous non-liner design could be realized. The approach provides a dynamic version management for asynchronous cooperation, which brings out a great efficiency in web-based product design.

关键词： multi-layer model cooperative design 3D models management asynchronous collaboration web3D-based application version control mechanism

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Identifying Strong Stress and Weak Stress Through Blood Volume Pulse

Identifying Strong Stress and Weak Stress Through Blood Volu...

引用

2016 ieee international conference on progress in informatics and computing

作者： Jialan Xie Wanhui Wen Guangyuan Liu Chuanwu Chen Jie Zhang Hong Liu School of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Nonlinear Ciruits and Intelligent Processing

This paper explored the difference between weak stress(WS) and strong stress(SS) on the relative ejection period(REP) of the blood volume pulse(BVP). Features were extracted from the REP series to recognize WS and SS. The blood volume pulse data were acquired during the defense of 31 graduate students for their master's degree under the real stress environment. The result shows that, in the real stress situation, the features of REP have obtained a correct rate of 91.93% in distinguishing strong stress state and weak stress state.

关键词： blood volume pulse ejection period real situation strong stress weak stress

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Robust Evaluation of Binary Collaborative Recommendation under Profile Injection Attack

Robust Evaluation of Binary Collaborative Recommendation und...

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Qingyun Long Department of Information and Computer Shanghai Business School Shanghai,China Qiaoduo Hu Labs & Teaching Equipment Center Shanghai Business School Shanghai,China

Recommender systems are being improved by every means to be more accurate,more robust,and faster. Collaborative filtering is the mainstream type of recommendation algorithms,and its core is calculating the similarity between users or items based on *** recently found that the binary similarity based solely on who-rated-what rather than actual ratings output more accurate ***,from robust perspective,evaluated the binary collaborative filtering under multiple types of profile injection attacks on large dataset. Experimental results show binary collaborative filtering is more robust than actual ratings based collaborative filtering in all situations.

关键词： Index Terms-recommender system profile injection attack binary rating rescaling robust evaluation empirical analysis

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Resource Allocation for Two Pairs of Users in Two-Way Relay Systems

Resource Allocation for Two Pairs of Users in Two-Way Relay ...

引用

2016 ieee international conference on progress in informatics and computing

作者： Dong Qin Yan Wang National Mobile Communications Research Laboratory Southeast University

In this paper, a win-win cooperative strategy is designed for two pairs of users, i.e., a primary user pair and a secondary user pair, competing resources in an orthogonal frequency division multiplexing(OFDM) network. The primary users aim to achieve given target rates with the help of a relay to overcome bad channel conditions, where one secondary user is selected as the relay to improve the overall network performance via an amplify-and-forward(AF) two-way relay protocol. Due to the high nonlinearity of above problems, a joint method utilizing nonlinear optimization and graph theory is developed to solve the problems. Compared with other suboptimal resource allocation methods, our proposed algorithm meets target rate requirements of the primary pair and maximizes the sum rate of the secondary pair simultaneously, because we fully exploit degrees of freedom of power allocation, subcarrier assignment and subcarrier pairing from the view of a unified *** results verify the effectiveness of our algorithm.

关键词： two-way relay cooperative strategy power allocation

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A New Profile Identification Method Based on Multiscale Energy Feature

A New Profile Identification Method Based on Multiscale Ener...

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Ping Cheng,Hai-tian Liu College of Information and Communication Engineering Harbin Engineering University Harbin,China Jia-qun Zhao College of Science Harbin Engineering University Harbin,China

As one dimensional range profile is sensitive to direction,translation and intensity,it needs extra storage and big computation in target *** reduce storage and computation,a new multi-scale energy feature based on dyadic wavelet transform is *** energy is not dependent on the translation of range profiles,the new feature has a translation invariable *** energy of two neighbor scales is divided to eliminate the intensity *** feature is also insensitive to direction *** the proposed feature was applied into real data for target identification,good result has been obtained,which is better than conventional methods. Therefore,the new method is an effective feature selection method for range profile identification.

关键词： range profile target identificatition dyadic wavelet transform multi-scale energy

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Reconstruction and Analysis of Hyperspectral Imagery Using Random Projections

Reconstruction and Analysis of Hyperspectral Imagery Using R...

引用

2017 international conference on progress in informatics and computing(PIC)

作者： James E.Fowler IEEE Mississippi State University

The ever-growing spatial and spectral resolution of hyperspectral imagery has increased interest in dimensionality reduction that takes place on-board the data-acquisition ***, traditional dimensionality-reduction algorithms are data dependent,computationally expensive, and, consequently, prohibitive for many resource-constrained airborne or satellite-borne sensor platforms. Random projections offer a means for accomplishing dimensionality reduction simultaneously with data acquisition, such that the sensor projects onto a lower-dimensional subspace chosen at random. The problem of reconstruction from random projections is addressed, considering both compressed sensing as well as an alternative based on principal components. The effect of random projections on the performance of hyperspectral analysis is also investigated, with particular focus on anomaly detection and classification. It is observed that strongly anomalous vectors are likely to be identifiable in the domain of the random projections even at low dimension, while widely separated classes are likely to remain so. Finally, the ability of applying such anomaly or class analysis in the random-projection domain is exploited to improve subsequent reconstruction of the hyperspectral dataset.

关键词： Reconstruction and Analysis of Hyperspectral Imagery Using Random Projections

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