基于网格环境中的量化评估信任模型

网格计算系统是由地理上分布的,异构的计算机和资源组成,它是一个分布式的高性能计算机环境,通过网络连接,用户可以透明地共享这些资源.但其本身具有动态性和不确定性,给区域间网格实体的合作带来一系列安全问题.所以网格环境中的信任问题,成为当前网格研究的一个热点.在本文中,把信任划分为身份信任和行为信任,提出了一种新型的量化评估信任模型,来处理网格环境中实体之间的信任关系,从而更科学、有效地解决网格环境中存在的安全问题.

A Quantification-evaluating Trust Model Based on Grid Environment

A grid computing system is composed of heterogeneous geographically-distrubuted computers and resources. And it is a high performance distribute environment. Users can share these resources pellucidly by the network. Because of the dynamics and uncertainty of grid environment, the collaboration of grid-entity is facing to a series of problem of security. So the trust issue of grid system becoms a hotspot in current study of grid. In this paper, we carve up the trust to identity-trust and behavior-trust, develop a new trust evaluating model to scale the relationg of the trust of grid entities, by which we can resolve security problems exist in grid environment more sciencely and effectively.