Title :
EDDTSTM: A Time-Nonlinear-Sensitive Trust Model Based on Human Mental Peculiarity in Virtual Computing Environments1
Author :
Zhang, Qiang ; Li, Dongsheng ; Gong, Zhenghu ; Fan, Weiwei
Author_Institution :
Sch. of Comput., National Univ. of Defense Technol., Changsha
Abstract :
In virtual computing environments of networks, the trust that we concern with not only originates from the honesty of the node owners, but also relates to the natural life of the individual resource existence. Trust is time-sensitive and we often ignored that in the prevenient researches. Trust factors include two parts of subjective reasons and objective reasons. This paper presents an integrated trust model EDDTSTM, which synthetically takes the two aspects into consideration so that we can better deal with the trust analysis of coarse-granularity resources such as P2P nodes and even fine-granularity resources such as sharing RAMs and CPUs in grid environments. The idea of time-nonlinear-sensitive trust is similar with the social methodology based on the human mental peculiarity and supported by the mathematic probability theory. Simulation results show that our EDDTSTM design can get better performance and higher successful trade rate than the trust models without time-sensitive mechanisms
Keywords :
grid computing; peer-to-peer computing; probability; security of data; EDDTSTM trust model; P2P node; coarse-granularity resources; grid environment; human mental peculiarity; mathematic probability theory; social methodology; time-nonlinear-sensitive trust model; virtual computing environment; Authentication; Collaboration; Computer networks; Hospitals; Humans; Mathematics; Peer to peer computing; Programmable logic arrays; Security; Time factors;
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
DOI :
10.1109/ICCIAS.2006.294091