摘要
现有的基于信誉的信任模型虽然考虑了节点在不同方面的信誉度不同,但是没有考虑在内容方面的差异。本文在现有信任模型TBRM的基础上进行改进,通过引入二维矩阵细化信任因素,并利用惩罚因子加大近期表现持续低靡的节点的惩罚力度。另外,信誉链的建立可以快速找到高质量的节点。
The existing reputation-based trust model takes the different reputations of the nodes in different aspects into account, but does not consider the difference in the aspect of content. The paper improves the existing trust model TBRM, and increases the punishment degree on the nodes which behave badly recently by introducing the 2D matrix refinement trust factor and using the punishment factor. In addition,building a reputation chain may help to find hlgh-quality nodes quickly.
出处
《计算机工程与科学》
CSCD
2008年第7期33-35,共3页
Computer Engineering & Science
