A Time-Frame Based Trust Model for P2P Systems

2006 ◽  
pp. 155-165 ◽  
Author(s):  
Junsheng Chang ◽  
Huaimin Wang ◽  
Gang Yin
Keyword(s):  
Time Frame ◽  
Trust Model ◽  
P2p Systems

Study on Trust Model of Internetware System

2015 ◽  
Vol 713-715 ◽  
pp. 2486-2490
Author(s):  
Tao He ◽  
Yong Wei ◽  
Hua Zhong Li ◽  
Li Na Fang ◽  
Shou Xiang Xu ◽  
...  
Keyword(s):  
Time Frame ◽  
Trust Model ◽  
Game Model ◽  
Measurement Results ◽  
Dynamic Trust ◽  
On Line ◽  
Weighted Factor ◽  
Trust Metric ◽  
Trust Measurement ◽  
Metric Model

We take the overall architecture of internetware on-line evolution model as basic, and study on trust metric model of the software in internetware system. In view of the not accurate results from the rough and existing trust metric model granularity, this paper proposed a multi service and hierarchical dynamic trust metric model based on time frame. Model also offer a method to established time frame weighted factor based on inducing ordered weighted operator, which makes the trust measurement results more accurate. The trust measurement results obtained from the model will be used as decision-making basis for Bias game model.

scholarly journals A Novel Iterative and Dynamic Trust Computing Model for Large Scaled P2P Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Zhenhua Tan ◽  
Xingwei Wang ◽  
Xueyi Wang
Keyword(s):  
Trust Management ◽  
Trust Model ◽  
Computation Method ◽  
Collusion Attack ◽  
Communication Architecture ◽  
P2p Systems ◽  
Iterative Computation ◽  
Main Challenge ◽  
Dynamic Trust ◽  
Complementary Part

Trust management has been emerging as an essential complementary part to security mechanisms of P2P systems, and trustworthiness is one of the most important concepts driving decision making and establishing reliable relationships. Collusion attack is a main challenge to distributed P2P trust model. Large scaled P2P systems have typical features, such as large scaled data with rapid speed, and this paper presented an iterative and dynamic trust computation model named IDTrust (Iterative and Dynamic Trust model) according to these properties. First of all, a three-layered distributed trust communication architecture was presented in IDTrust so as to separate evidence collector and trust decision from P2P service. Then an iterative and dynamic trust computation method was presented to improve efficiency, where only latest evidences were enrolled during one iterative computation. On the basis of these, direct trust model, indirect trust model, and global trust model were presented with both explicit and implicit evidences. We consider multifactors in IDTrust model according to different malicious behaviors, such as similarity, successful transaction rate, and time decay factors. Simulations and analysis proved the rightness and efficiency of IDTrust against attacks with quick respond and sensitiveness during trust decision.

A secure trust model for P2P systems based on trusted computing

2008 ◽  
Vol 13 (1) ◽  
pp. 86-90 ◽  
Author(s):  
Li-ming Hao ◽  
Shu-tang Yang ◽  
Song-nian Lu ◽  
Gong-liang Chen
Keyword(s):  
Trusted Computing ◽  
Trust Model ◽  
P2p Systems

A Trust Model Based on Evidence Theory for P2P Systems

2010 ◽  
Vol 20-23 ◽  
pp. 99-104 ◽  
Author(s):  
Li Dong Huang ◽  
Gang Xue ◽  
Xiang Lin He ◽  
Hong Lin Zhuang
Keyword(s):  
Evidence Theory ◽  
Trust Model ◽  
Combination Rule ◽  
Trust Value ◽  
Trust Relationship ◽  
P2p Systems ◽  
Model Based ◽  
Proposed Model ◽  
Trust Models ◽  
Set Up

Trust relationship between peers must to be established in P2P systems. But current trust models have some flaw in computing peer’s trust value, trust security and so on. This paper referred to the interpersonal social network, in which trust relationship between individuals are set up upon recommendations of other individuals, and proposed a recommendation trust model based on D-S evidence theory for P2P systems. The model deduces a peer’s local trust values from its transaction history, and then combines the peer’s local trust values by D-S combination rule and gets its global trust value finally. The experiment shows that, compared to the current trust model, the proposed model is more robust in security and more accurate in computing peer’s global trust value.

Effects of Momentary Affect on Satisfaction Judgments

2020 ◽  
Vol 41 (2) ◽  
pp. 61-67
Author(s):  
Marko Tončić ◽  
Petra Anić
Keyword(s):  
Linear Models ◽  
Time Frame ◽  
Hierarchical Linear Models ◽  
Curvilinear Relationship ◽  
Positive And Negative Affect ◽  
Transient Events ◽  
Time Frames ◽  
Events Data ◽  
Level Satisfaction ◽  
Source Of Information

Abstract. This study aims to examine the effect of affect on satisfaction, both at the between- and the within-person level for momentary assessments. Affect is regarded as an important source of information for life satisfaction judgments. This affective effect on satisfaction is well established at the dispositional level, while at the within-person level it is heavily under-researched. This is true especially for momentary assessments. In this experience sampling study both mood and satisfaction scales were administered five times a day for 7 days via hand-held devices ( N = 74 with 2,122 assessments). Several hierarchical linear models were fitted to the data. Even though the amount of between-person variance was relatively low, both positive and negative affect had substantial effects on momentary satisfaction on the between- and the within-person level as well. The within-person effects of affect on satisfaction appear to be more pronounced than the between-person ones. At the momentary level, the amount of between-person variance is lower than in studies with longer time-frames. The affect-related effects on satisfaction possibly have a curvilinear relationship with the time-frame used, increasing in intensity up to a point and then decreasing again. Such a relationship suggests that, at the momentary level, satisfaction might behave in a more stochastic manner, allowing for transient events/data which are not necessarily affect-related to affect it.

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