A Reputation-Based Trust Model for P2P Systems

Author(s):  
Peng Wu ◽  
Guoxin Wu
Keyword(s):  
2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Zhenhua Tan ◽  
Xingwei Wang ◽  
Xueyi Wang

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.


2008 ◽  
Vol 13 (1) ◽  
pp. 86-90 ◽  
Author(s):  
Li-ming Hao ◽  
Shu-tang Yang ◽  
Song-nian Lu ◽  
Gong-liang Chen

2010 ◽  
Vol 20-23 ◽  
pp. 99-104 ◽  
Author(s):  
Li Dong Huang ◽  
Gang Xue ◽  
Xiang Lin He ◽  
Hong Lin Zhuang

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.


2019 ◽  
Vol 16 (7) ◽  
pp. 174-194 ◽  
Author(s):  
Weijin Jiang ◽  
Yang Wang ◽  
Yirong Jiang ◽  
Jiahui Chen ◽  
Yuhui Xu ◽  
...  

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