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Current Cloud Computing Security Concerns from Consumer Perspective
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作者 hafiz gulfam ahmad Zeeshan ahmad 《机床与液压》 北大核心 2013年第24期1-5,共5页
In recent years cloud computing is the subject of extensive research in the emerging field of information technology and has become a promising business.The reason behind this widespread interest is its abilityto incr... In recent years cloud computing is the subject of extensive research in the emerging field of information technology and has become a promising business.The reason behind this widespread interest is its abilityto increase the capacity and capability of enterprises,having no investment for new infrastructure,no software license requirement and no need of any training.Security concern is the main limitation factor in the growth of this new born technology.The security responsibilities of both,the provider and the consumer greatly differ between cloud service models.In this paper we discuss a variety of security risks,authentication issues,trust,and legal regularity in cloud environment with consumer perspective.Early research focused only on technical and business consequences of cloud computing and ignored consumer perspective.Therefore,this paper discusses the consumer security and privacy preferences. 展开更多
关键词 云计算 电子商务 信息化建设 供应商
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Effects of variable-time impulses on global exponential stability of Cohen-Grossberg neural networks
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作者 Xianxiu Zhang Chuandong Li +1 位作者 Tingwen Huang hafiz gulfam ahmad 《International Journal of Biomathematics》 2017年第8期241-263,共23页
We investigate the global exponential stability of Cohen-Grossberg neural networks (CGNNs) with variable moments of impulses using B-equivalence method. Under cer- tain conditions, we show that each solution of the ... We investigate the global exponential stability of Cohen-Grossberg neural networks (CGNNs) with variable moments of impulses using B-equivalence method. Under cer- tain conditions, we show that each solution of the considered system intersects each surface of discontinuity exactly once, and that the variable-time impulsive systems can be reduced to the fixed-time impulsive ones. The obtained results imply that impul- sive CGNN will remain stability property of continuous subsystem even if the impulses are of somewhat destabilizing, and that stabilizing impulses can stabilize the unsta- ble continuous subsystem at its equilibrium points. Moreover, two stability criteria for the considered CGNN by use of proposed comparison system are obtained. Finally, the theoretical results are illustrated by two examples. 展开更多
关键词 Cohen-Grossberg neural network (CGNN) variable-time impulse B-equiv-alence global exponential stability.
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