Abstract
How to develop a trust management model and then to efficiently control and manage nodes is an important issue in the scope of social network security. In this paper, a trust management model based on a cloud model is proposed. The cloud model uses a specific computation operator to achieve the transformation from qualitative concepts to quantitative computation. Additionally, this can also be used to effectively express the fuzziness, randomness and the relationship between them of the subjective trust. The node trust is divided into reputation trust and transaction trust. In addition, evaluation methods are designed, respectively. Firstly, the two-dimension trust cloud evaluation model is designed based on node’s comprehensive and trading experience to determine the reputation trust. The expected value reflects the average trust status of nodes. Then, entropy and hyper-entropy are used to describe the uncertainty of trust. Secondly, the calculation methods of the proposed direct transaction trust and the recommendation transaction trust involve comprehensively computation of the transaction trust of each node. Then, the choosing strategies were designed for node to trade based on trust cloud. Finally, the results of a simulation experiment in P2P network file sharing on an experimental platform directly reflect the objectivity, accuracy and robustness of the proposed model, and could also effectively identify the malicious or unreliable service nodes in the system. In addition, this can be used to promote the service reliability of the nodes with high credibility, by which the stability of the whole network is improved.
Highlights
With the rapid development of social networks, they have been widely used in a variety of different fields, such as file sharing, information retrieval, and collaborative computing [1,2]
We propose a trust management model based on a cloud model that uses a specific tectonic operator to achieve the transformation from qualitative concepts to quantitative computation
The novel trust cloud evaluation model designed in this paper is based on a two-dimensional metric: reputation trust and transaction trust
Summary
With the rapid development of social networks, they have been widely used in a variety of different fields, such as file sharing, information retrieval, and collaborative computing [1,2]. Li [24] proposed the cloud model theory that organically integrates fuzziness and randomness This model better reflects human understanding of the essence of the objective world. Platform, and the results demonstrate the objectivity, accuracy and robustness of our cloud trust model It can effectively identify malicious or unreliable nodes to promote the service reliability of the nodes with high credibility and stability, so the service stability of the whole network is improved.
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