[关键词]
[摘要]
基于数据压缩领域中的行程编码理论提出一种RunTrust动态信任模型,以系统收益衡量节点合作成果,以经过压缩的节点合作记录作为信任评估依据,既增加了评估依赖的信息量,也保留了时间维度,提高了信任度评估的准确性和动态恶意行为的判别能力;借助基于时间的反馈聚合算法,通过特殊的反馈过滤策略和动态参数调整,能够增强针对恶意反馈的过滤能力.仿真实验结果表明,RunTrust以牺牲少量处理能力换取系统性能的显著提升.RunTrust模型的提出为信任数据压缩研究奠定了基础.
[Key word]
[Abstract]
In this paper, RunTrust, a trust model based on Run-length coding algorithm, performs trust evaluation by compressing records of peers’ behaviors which contain more information including time dimension, so it can exhibit good performance in trust evaluation and detecting malicious especially oscillatory behaviors. Moreover, the capability of filtering false feedbacks is also improved. The simulating results indicated that RunTrust has significantly raised the efficiency of trust management system only at a very low cost. The work on RunTrust has paved for the research on trust data compacting.
[中图分类号]
[基金项目]
Supported by the National High-Tech Research and Development Plan of China under Grant No.2007AA01Z422 (国家高技术研究发展计划(863))
