scholarly journals A Cloud Theory-Based Trust Computing Model in Social Networks

Entropy ◽  
2016 ◽  
Vol 19 (1) ◽  
pp. 11 ◽  
Author(s):  
Fengming Liu ◽  
Xiaoqian Zhu ◽  
Yuxi Hu ◽  
Lehua Ren ◽  
Henric Johnson
Keyword(s):  
Social Networks ◽  
Computing Model ◽  
Cloud Theory ◽  
Trust Computing

scholarly journals ODMBP: Behavior Forwarding for Multiple Property Destinations in Mobile Social Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Jia Xu ◽  
Jin Xin Xiang ◽  
Xiang Chen ◽  
Fang Bin Liu ◽  
Jing Jie Yu
Keyword(s):  
Social Networks ◽  
Routing Protocols ◽  
Delivery Ratio ◽  
Mobile Social Networks ◽  
Computing Model ◽  
Three Stages ◽  
Novel Applications ◽  
Behavior Profile ◽  
Behavior Profiles ◽  
Overhead Ratio

The smartphones are widely available in recent years. Wireless networks and personalized mobile devices are deeply integrated and embedded in our lives. The behavior based forwarding has become a new transmission paradigm for supporting many novel applications. However, the commodities, services, and individuals usually have multiple properties of their interests and behaviors. In this paper, we profile these multiple properties and propose an Opportunistic Dissemination Protocol based on Multiple Behavior Profile, ODMBP, in mobile social networks. We first map the interest space to the behavior space and extract the multiple behavior profiles from the behavior space. Then, we propose the correlation computing model based on the principle of BM25 to calculate the correlation metric of multiple behavior profiles. The correlation metric is used to forward the message to the users who are more similar to the target in our protocol. ODMBP consists of three stages: user initialization, gradient ascent, and group spread. Through extensive simulations, we demonstrate that the proposed multiple behavior profile and correlation computing model are correct and efficient. Compared to other classical routing protocols, ODMBP can significantly improve the performance in the aspect of delivery ratio, delay, and overhead ratio.

scholarly journals Analysis on trust influencing factors and trust model from multiple perspectives of online Auction

Open Physics ◽  
2017 ◽  
Vol 15 (1) ◽  
pp. 613-619 ◽  
Author(s):  
Wang Yu
Keyword(s):  
Influencing Factors ◽  
Trust Model ◽  
Computing Methods ◽  
Online Auction ◽  
Multiple Perspectives ◽  
Computing Model ◽  
Trust Degree ◽  
Trust Models ◽  
Improved Model ◽  
Trust Computing

AbstractCurrent reputation models lack the research on online auction trading completely so they cannot entirely reflect the reputation status of users and may cause problems on operability. To evaluate the user trust in online auction correctly, a trust computing model based on multiple influencing factors is established. It aims at overcoming the efficiency of current trust computing methods and the limitations of traditional theoretical trust models. The improved model comprehensively considers the trust degree evaluation factors of three types of participants according to different participation modes of online auctioneers, to improve the accuracy, effectiveness and robustness of the trust degree. The experiments test the efficiency and the performance of our model under different scale of malicious user, under environment like eBay and Sporas model. The experimental results analysis show the model proposed in this paper makes up the deficiency of existing model and it also has better feasibility.

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