普适环境中细粒度可信管理框架的研究  

Fine-Grained Trust Management Framework for Pervasive Computing

作　　者：张洁[1] 董辉[2] 

机构地区：[1]商洛学院数学与计算机应用学院,陕西商洛726000 [2]西北工业大学计算机学院,陕西西安710072

出　　处：《测控技术》2017年第5期92-95,99,共5页Measurement & Control Technology

基　　金：商洛学院科研基金项目(15SKY002)

摘　　要：为改善当前面向普适计算的可信管理框架两级设计可信度粒度过粗问题,同时避免连续可信度设计中计算量过大的问题,提出一个细粒度可信管理框架,将可信度分为直接可信度与推荐可信度。在此基础上,对信誉度、互惠度及相关概念给出了新的定义,并为上述概念在框架中的实现提出了新的计算模型。该框架中可信凭证计数器的设计有效地解决了普适设备存储容量有限的问题,使框架达到了轻量级的标准。To improve the situation that the granularity of trust is coarse in the two-level design and avoid the huge amount of calculation in the design of continuous trust, a fine-grained trust management framework in per- vasive environments is proposed. In the framework, the trust is divided into direct trust and recommended trust and the reputation, reciprocity and relevant concepts are defined newly. The new formal computing models for the concepts above are proposed. The design of storage counter in the framework effectively solves the problem of limited storage capacity of devices in pervasive computing. The experimental results indicate that the frame- work measures up to the lightweight level.

关 键 词：可信度进化 普适计算 可信度退化 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]