International Journal of Innovative Computing and Applications http://www.inderscience.com/browse/index.php?journalID=215&year=2011&vol=3&issue=4 Inderscience Publishers Ltd en-uk International Journal of Innovative Computing and Applications 1751-648X 1751-6498 © 2011 Inderscience Publishers Ltd editor@inderscience.com https://www.inderscience.com/images/files/coverImgs/ijica_scoverijica.jpg http://www.inderscience.com/browse/index.php?journalID=215&year=2011&vol=3&issue=4 http://www.inderscience.com/link.php?id=44529 High security of cloud computing is one of the most challenges to be addressed before the novel pas-as-you-go business paradigm is widely applied over the internet. Trust brings a novel means to improve the security of cloud computing platforms. However, there are few systematic works on trust in cloud systems. In this paper, the definition of trust in cloud systems is given and the properties of trust are analysed by referring to the fruits from social science. Based on the properties and semantics of trust, a dynamic multi-dimensional trust model named DMTC is proposed, which includes a time-variant comprehensive evaluation multi-dimensional method for expressing direct trust and a space-variant evaluation multi-dimensional method for calculating recommendation trust. To compute trust in cloud systems, an algorithm based on the DMTC model is given. Experiment results show that the proposed model can dynamically and effectively construct the trust relationship in cloud computing environment. A dynamic multi-dimensional trust evaluation model to enhance security of cloud computing environments
Dawei Sun; Guiran Chang; Lina Sun; Fengyun Li; Xingwei Wang
International Journal of Innovative Computing and Applications, Vol. 3, No. 4 (2011) pp. 200 - 212
High security of cloud computing is one of the most challenges to be addressed before the novel pas-as-you-go business paradigm is widely applied over the internet. Trust brings a novel means to improve the security of cloud computing platforms. However, there are few systematic works on trust in cloud systems. In this paper, the definition of trust in cloud systems is given and the properties of trust are analysed by referring to the fruits from social science. Based on the properties and semantics of trust, a dynamic multi-dimensional trust model named DMTC is proposed, which includes a time-variant comprehensive evaluation multi-dimensional method for expressing direct trust and a space-variant evaluation multi-dimensional method for calculating recommendation trust. To compute trust in cloud systems, an algorithm based on the DMTC model is given. Experiment results show that the proposed model can dynamically and effectively construct the trust relationship in cloud computing environment.

]]> 10.1504/IJICA.2011.044529 International Journal of Innovative Computing and Applications, Vol. 3, No. 4 (2011) pp. 200 - 212 Dawei Sun; Guiran Chang; Lina Sun; Fengyun Li; Xingwei Wang School of Information Science and Engineering, Northeastern University, Shenyang 110004, China. ' School of Information Science and Engineering, Northeastern University, Shenyang 110004, China. ' School of Information Science and Engineering, Northeastern University, Shenyang 110004, China. ' School of Information Science and Engineering, Northeastern University, Shenyang 110004, China. ' School of Information Science and Engineering, Northeastern University, Shenyang 110004, China multi-dimensional evaluation cloud computing innovative computing trust modelling high security trust evaluation. 2011-12-30T23:20:50-05:00 3 4 200 212 2011-12-30T23:20:50-05:00 http://www.inderscience.com/link.php?id=44530 This paper presents a new method which uses Cartesian genetic programming (CGP) in order to implement function modelling. Since Julian F. Miller proposed the method of CGP, the research and development of CGP mainly trends in the design of the circuit application in recent years; very few scholars have the related research of function modelling in this field. Therefore, the most important feature in this paper is that we apply CGP which is originally used for circuit design to implement function modelling. By numerical test experiments and comparison, we find that this method of function modelling is novel and has the comparative advantages and it is intelligent (self-adaptive, self-organising, self-learning, self-healing, etc.) while it can greatly increase the system speed. Using Cartesian genetic programming to implement function modelling
Zhangyi Yu; Sanyou Zeng; Yan Guo; Liguo Song
International Journal of Innovative Computing and Applications, Vol. 3, No. 4 (2011) pp. 213 - 222
This paper presents a new method which uses Cartesian genetic programming (CGP) in order to implement function modelling. Since Julian F. Miller proposed the method of CGP, the research and development of CGP mainly trends in the design of the circuit application in recent years; very few scholars have the related research of function modelling in this field. Therefore, the most important feature in this paper is that we apply CGP which is originally used for circuit design to implement function modelling. By numerical test experiments and comparison, we find that this method of function modelling is novel and has the comparative advantages and it is intelligent (self-adaptive, self-organising, self-learning, self-healing, etc.) while it can greatly increase the system speed.

]]> 10.1504/IJICA.2011.044530 International Journal of Innovative Computing and Applications, Vol. 3, No. 4 (2011) pp. 213 - 222 Zhangyi Yu; Sanyou Zeng; Yan Guo; Liguo Song School of Computer Science, China University of Geosciences, Wu Han, 430074, China. ' School of Computer Science, China University of Geosciences, Wu Han, 430074, China. ' School of Computer Science, China University of Geosciences, Wu Han, 430074, China. ' The Microelectronics Technology Institute of Beijing, 100076 Beijing, China Cartesian genetic programming CGP evolutionary algorithms function modelling. 2011-12-30T23:20:50-05:00 3 4 213 222 2011-12-30T23:20:50-05:00