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Improved access control model under cloud computing environment

Improved access control model under cloud computing environm...

引用

5th International Symposium on IT in Medicine and Education, ITME 2013

作者： Zhang, Yongsheng Zou, Jiashun Gao, Yan Li, Bo School of Information Science and Engineering Shandong Normal University Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan 250014 China Academic Affairs Office Shandong Polytechnic Jinan 250104 China

ISBN: (纸本)9789400776173

With the development of cloud computing, cloud security problem has become a hot topic. Some scholars put forward the role access control based on mapping, which is used to solve the leakage problem of data storing in the cloud. This paper briefly describes the cloud computing and traditional access control model based on the latest research. Then the paper sums up the work and puts forward a new kind of access control model based on the hop named HBAC. It is based on the role access control that based on mapping. It is used to control the length of path to access the data in outer domain. At last, the paper gives the concrete steps to describe the principle of its operation in detail. And this paper makes a comparison with other related researches. Then this paper summarizes the advantages and disadvantages of HBAC. © Springer Science+Business Media Dordrecht 2014.

关键词： Mapping

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Strategy of domain and cross-domain access control based on trust in cloud computing environment

Strategy of domain and cross-domain access control based on ...

引用

3rd International Conference on computer Engineering and Network, CENet 2013

作者： Li, Bo Tian, Ming Zhang, Yongsheng Lv, Shenjuan Academic Affairs Office Shandong Polytechnic Jinan 250104 China School of Information Science and Engineering Shandong Normal University Jinan 250014 China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan 250014 China

ISBN: (纸本)9783319017655

Under the current cloud computing environment, a reasonable and practicable access control strategy is needed, which is a guarantee to protect cloud computing suppliers to provide services and many cloud users access to services. In this paper, based on analysis of many cloud computing safety features, trust management is introduced into the cloud computing service access control, within the domain of a trust-based access control strategy, in domain, presents a trust-based access control policy. Credible value will be given through the comprehensive treatment of the entity, and then AAC (authentication and authorization center) authorizes the appropriate access rights to achieve the control of the monomer in the domain. Combined with the characteristics of the existing cloud computing environment, in multiple management domains, this paper proposes a role mapping, with the role mapping relationship between the domain, which can make the inter-domain access to resources and security shared access between different domains, in order to avoid the problem of permission penetration and privilege escalation, this paper presents the mirror role based on role mapping, ultimately solves the problem. © 2014 Springer International Publishing Switzerland.

关键词： Cloud computing

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The application of trusted computing technology in the cloud security

The application of trusted computing technology in the cloud...

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3rd International Conference on computer Engineering and Network, CENet 2013

作者： Li, Bo Lv, Shenjuan Zhang, Yongsheng Tian, Ming Academic Affairs Office Shandong Polytechnic Jinan 250104 China School of Information Science and Engineering Shandong Normal University Jinan 250014 China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan 250014 China

ISBN: (纸本)9783319017655

For the lack of safety and reliability of the information in the cloud computing environment, in order to create a more flexible and adaptable security mechanism, the combination of cloud computing and credible concept is a major research direction in today's security. Based on the view mentioned above, this paper strengthens the research of trust computing technology to solve the security issues in cloud and cloud-based trust transfer, on the basis of the practical work of the experts and scholars on the trust transfer technology, and expands the theoretical model of the trust chain. This paper uses the stochastic process algebra and Petri nets as a modeling tool to build two trust chain models, demonstrates the credibility of certain behavioral characteristics of the chain, analyzes several constraints of credible chain, and provides a valuable reference for engineering practice of the credible chain. © 2014 Springer International Publishing Switzerland.

关键词： Chains

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Predicting employee relations in enterprises by bi-directional link mining 11

Predicting employee relations in enterprises by bi-direction...

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2014 11th World Congress on Intelligent Control and Automation, WCICA 2014

作者： Hong, Wang Sun, Yanshen Institute of Information Science and Engineering Shandong Normal University Jinan Shandong Province China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan Shandong Province China Department of Earth Sciences ZheJiang University Hangzhou Zhejiang Province China

ISBN: (纸本)9781479958252

By using link mining method, we can understand associations among persons in enterprises. In this paper, we propose a link mining model called a bi-directional link mining, which is capable of predicting edges that do not exist but may appear in the future in dynamic multi-dimensional networks. Firstly, we construct a dynamic multi-dimensional networks from an E-mail network and a telephone network, which makes us correctly describe a Group's staff relationship. Then we present some algorithms to build a reduction dimensional network and a dynamic network. After that, we give bi-directional link mining methods in a dynamic multi-dimensional weighted network and apply these methods in the enterprise's employee relational network. Experimental results show that these methods can effectively predict associations among persons in a large scale employee networks. © 2014 IEEE.

关键词： Electronic mail

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An adaptive cultural algorithm based on dynamic particle swarm optimization

An adaptive cultural algorithm based on dynamic particle swa...

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5th International Symposium on IT in Medicine and Education, ITME 2013

作者： Peiyu, Liu Yuanyuan, Ren Suzhi, Xue Zhenfang, Zhu School of Information Science and Engineering Shandong Normal University Jinan 250014 China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Shandong Normal University Jinan 250014 China School of Information Science and Electric Engineering Shandong Jiao Tong University Jinan 250357 China

ISBN: (纸本)9789400776173

To avoid the local optimum problems and to improve convergent speed when particle swarm optimization algorithm in solving complex problems, an adaptive cultural algorithm based on dynamic particle swarm optimization algorithm was proposed. Particle swarm algorithm introduced evaluation premature convergence degree of index to judge the population space condition to determine the role of the influence function time. The inertia weight of the particle was adjusted adaptively based on the premature convergence degree of the swarm. The diversity of inertia weight makes a compromise between the global convergence and the speed of convergence. The proposed algorithm was tested with four well-known benchmark functions. The experimental results show that the new algorithm has great global search ability convergence accuracy and convergence velocity is also increased and avoid the premature convergence problem effectively. © Springer Science+Business Media Dordrecht 2014.

关键词： Method of moments

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Personalized recommendation based on link prediction in dynamic super-networks 5

Personalized recommendation based on link prediction in dyna...

引用

5th International Conference on Computing Communication and Networking Technologies, ICCCNT 2014

作者： Hong, Wang Yanshen, Sun Xiaomei, Yu Institute of Information Science and Engineering Shandong Normal University Jinan250014 China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan250014 China Department of Earth Sciences Zhejiang University Hangzhou310000 China

ISBN: (纸本)9781479926961

Personalized recommendation is one of the most effective methods to solve the problem of information overloading. As many real existing systems in nature, a recommendation system can also be considered as a complex network system, so we can do personalized recommendation by using the link prediction method which is a new one in complex networks research area. In this paper, we present personalized recommendation method based on the link prediction in Super-networks. Firstly, we give several definitions such as a Super-network, a dynamic Super-network and a utility matrix etc. Secondly, we construct a personalized recommendation model based on these definitions. Thirdly, we define a similarity metric for users and some similarity criteria, put forward five link prediction related algorithms in dynamic Supernetworks and present our recommendation algorithms based on these link prediction algorithms. Finally, we apply our methods to classic datasets in order to evaluate the performance of our algorithms. © 2014 IEEE.

关键词： Complex networks

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A modified approach of hot topics found on micro-blog

A modified approach of hot topics found on micro-blog

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5th International Symposium on IT in Medicine and Education, ITME 2013

作者： Ran, Lu Suzhi, Xue Yuanyuan, Ren Zhenfang, Zhu School of Information Science and Engineering Shandong Normal University Jinan 250014 China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan 250014 China School of Information Science and Electric Engineering Shandong Jiaotong University Jinan 250357 China

ISBN: (纸本)9789400776173

Due to the simplicity, immediacy and convenience, micro-blog is gaining more and more attention from all kinds of people, especially the researchers. Recently, topic detection on micro-blog has attracted more interests due largely to the rapid development of micro-blog. However, retrieving information from micro-blog is challenging, as the texts of the micro-blog are short, ungrammatical, and unstructured, and they are full of noise. Therefore, the traditional hot topic detection method performed less. In order to solve this problem, this paper proposed a method of hot topics found based on speed growth. In this method, the pretreated micro-blogs were divided into different windows, and the time information was extracted in each window;then, for each word, it was expressed as feature trajectory of binary group sequence;then, calculated the growth speed of the word and the users relevant to the word in every adjacent two windows, selected the words whose growth speed is greater than a certain threshold as hot keywords;then, hot topics were found through the hot keywords clustering. The experiment was done based on SINA micro-blog dataset, the miss rate and false detection rate were done to prove the feasibility of the algorithm, results showed that the method improved the efficiency of the detection to a certain extent. © Springer Science+Business Media Dordrecht 2014.

关键词： Data mining

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A Improved Prefix Span Algorithm For Sequential Pattern Mining

A Improved Prefix Span Algorithm For Sequential Pattern Mini...

引用

2014 IEEE 5th International Conference on software Engineering and Service Science

作者： Liang Dong Wang hong Institute of Information Science and Engineering Shandong Normal University Computer Software Novel Technology Shandong Provincial Key Laboratory for Distributed Shandong Normal University Computer Software Novel Technology

Aiming at the problem of constructing huge amounts of projected databases in Prefix Span algorithm,this paper proposes an Improved Prefix Span algorithm for Mining Sequential Patterns,called BLSPM algorithm（based on bi-level Sequential Patterns Mining）.The algorithm use duplicated projection and certain specific sequential patterns pruning,reduce the scale of projected databases and the runtime of scanning projected databases,thus,the efficiency of algorithm could be raised up greatly,and all needed sequential patterns are *** results shows that BLSPM algorithm is more efficient than Prefix Span algorithm in large databases.

关键词： sequential pattern Prefix Span algorithm prejected database

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A method of computing the hot topics' popularity on the internet combined with the features of the microblogs

A method of computing the hot topics' popularity on the inte...

引用

5th International Symposium on IT in Medicine and Education, ITME 2013

作者： Wei, Yongqing Zhang, Zhen Fei, Shaodong Du, Wentao Basic Education Department Shandong Police College Jinan 250014 China School of Information Science and Engineering Shandong Normal University Jinan 250014 China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan 250014 China Shandong University of Finance and Economics Jinan 250014 China

ISBN: (纸本)9789400776173

The article puts forward a new formula of computing the popularity of the topics, which is based on the stream of the news on the internet. What's more, the features of the microblogs should be also considered and combined. The hot topics are sorted by the values of them, so the information of the topics is convenient and accurate to be acquired for the public. It is beneficial to the government to supervise the public opinion as well. The experiments are based on both news and the microblogs. Our system could figure out the value of the hot topics by the popularity among users, after that the topics will be sorted automatically. The results of the experiments have shown that the system worked well. © Springer Science+Business Media Dordrecht 2014.

关键词： Social aspects

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Improvement of Eclat Algorithm Based on Support in Frequent Itemset Mining

Improvement of Eclat Algorithm Based on Support in Frequent ...

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The 6th International Conference on computer Research and Development

作者： Xiaomei Yu Hong Wang School of Information Science and Engineering Shandong Provincial Key Laboratory for Distributed Computer software Novel TechnologyShandong Normal University

Finding frequent itemsets is computationally the most expensive step in association rules mining, and most of the research attention has been focused on it. With the observation that support plays an important role in frequent item mining, in this paper, a conjecture on support count is proved and improvements of traditional Eclat algorithm are presented. The new Bi-Eclat algorithm sorted on support: Items sort in descending order according to the frequencies in transaction cache while itemsets use ascending order of support during support count. Compared with traditional Eclat algorithm, the results of experiments show that the Bi-Eclat algorithm gains better performance on several public databases given. Furthermore, the Bi-Eclat algorithm is applied in analyzing combination principles of prescriptions for Hepatitis B in Traditional Chinese Medicine, which shows its efficiency and effectiveness in practical usefulness.

关键词： frequent itemset support count equivalence class Eclat algorithm

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