CBTM: A Trust Model with Uncertainty Quantification and Reasoning for Pervasive Computing

He, Rui; Niu, Jianwei; Guang-wei, Zhang

doi:10.1007/11576235_56

Cited by 24 publications

(19 citation statements)

References 6 publications

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“…Many scholars put forward a variety of dynamic trust relationship prediction models in the open environment based on the mathematical methods and tools used to describe the uncertainty phenomenon [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. These models reflect the dynamics, complexity and uncertainty of trust relationship from different aspects, making people understand the nature of the dynamic trust relationship, and promoting the research and the development of related theory of trust relationship effectively.…”

Section: Research Backgroundmentioning

confidence: 99%

“…For example, the PTM model based on the evidence theory proposed by Almenarez et al [5,6]; the trust model based on the vector mechanism put forward by Hassan et al [7]; the trust model based on the theory of the half ring proposed by George et al [8]; the trust model based on the entropy theory proposed by Sun et al [9,10] and the trust model based on the cloud mode proposed by He et al [11]. Dimitri proposed the model based on the Bayesian network model and used the Kalman information filter mechanism [12].…”

Section: Related Research Workmentioning

confidence: 99%

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A Direct Trust Aggregation Algorithm Based on the Minimum Variance Time Sequence Weight

Long¹,

Wensheng²

2015

TOCSJ

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Direct trust relationship is the foundation of research on the indirect recommendation trust between agents and the global trust degree. In view of the lack of analysis and attention on the direct trust in the current research of dynamic trust relationship, this paper proposed a minimum variance time sequence weight based on direct trust aggregation algorithm which is constrained by the fuzzy integration operator orness measurement level. The algorithm introduces the concept of agent reputation, elaborates the evolution process and the law of the trust in the process of direct interaction, and further characterizes the complexity and stability of direct trust relationship. The simulation experimental results show that the model has a good dynamic adaptability and scalability compared with the conventional model.

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Section: Research Backgroundmentioning

confidence: 99%

Section: Related Research Workmentioning

confidence: 99%

A Direct Trust Aggregation Algorithm Based on the Minimum Variance Time Sequence Weight

Long¹,

Wensheng²

2015

TOCSJ

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show abstract

“…The trust values are updated according to the history records and other factors. In Sun s model [24,25] , which is a trust model based on entropy theory and applies a modified evidential reasoning approach, the trust values are calculated using the probability of the weighted average method. The George s model [26] is a trust model based on semi-ring algebra theory, in which the trust problem is described as a directed graph routing problem, and trust values are calculated using semi-ring algebra and finally conduct trust evaluation.…”

Section: Trust and Reputation Modelsmentioning

confidence: 99%

A multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning approach

Fan

Yang

Perros

et al. 2014

Int. J. Autom. Comput.

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Abstract:In the last few years, cloud computing as a new computing paradigm has gone through significant development, but it is also facing many problems. One of them is the cloud service selection problem. As increasingly boosting cloud services are offered through the internet and some of them may be not reliable or even malicious, how to select trustworthy cloud services for cloud users is a big challenge. In this paper, we propose a multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning (ER) approach that integrates both perception-based trust value and reputation based trust value, which are derived from direct and indirect trust evidence respectively, to identify trustworthy services. Here, multi-dimensional trust evidence, which reflects the trustworthiness of cloud services from different aspects, is elicited in the form of historical users feedback ratings. Then, the ER approach is applied to aggregate the multi-dimensional trust ratings to obtain the real-time trust value and select the most trustworthy cloud service of certain type for the active users. Finally, the fresh feedback from the active users will update the trust evidence for other service users in the future.

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“…Di et al [29] introduced the cloud model theory into spatial data mining and knowledge development for qualitative and quantitative conversion, concept decomposition and knowledge expression which provides new methods for generating concept from data and concept hierarchy structures. He et al [30] proposed a trust model based on a cloud model, introducing the cloud model theory into the trust model and describing the trust relationship through a trust cloud.…”

Section: Introductionmentioning

confidence: 99%

A Cloud Theory-Based Trust Computing Model in Social Networks

Liu

Zhu

et al. 2016

Entropy

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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.

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CBTM: A Trust Model with Uncertainty Quantification and Reasoning for Pervasive Computing

Cited by 24 publications

References 6 publications

A Direct Trust Aggregation Algorithm Based on the Minimum Variance Time Sequence Weight

A Direct Trust Aggregation Algorithm Based on the Minimum Variance Time Sequence Weight

A multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning approach

A Cloud Theory-Based Trust Computing Model in Social Networks

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