Papers by Keyword: Trust Evaluation

Abstract: Because nodes in the loT(Internet of Things) are widely distributed and most of them are unattended, so single node is vulnerable to be attacked and destroyed. Once one node is destroyed or attacked, the whole loT will be faced with tremendous security problems. This paper proposed a Trust Evaluation Model of loT based on AHP and Backward Cloud Model. In the model, in order to be solve the problem that nodes in loT have limited resources, the paper made use of the improved AHP(Analytic Hierarchy Process) and Reverse Cloud Model method, which can work with simple calculation and few resources. In the last, we simulate the method using omnet++ and simulation result show that the model can evaluate the trust value of the malicious node that executes bad communication behaviours fast and also reduce the possibility of wrong judgment.

Abstract: In order to solve the problem of the transaction security in C2C e-commerce, this paper proposes an evaluation model based on cloud model theory. The created definition of the trust cloud and the standard cloud in the valuation model show the ambiguity and random of the trust and realize transferring quantitative data to qualitative data. This paper puts forward the synthesis, similarity calculation method and realizes comprehensive evaluation and decision-making based on trust cloud. The calculation examples show that the model is feasible and effective. So, a new trust evaluation model based on cloud model theory can make evaluation result more objective and real results.

Abstract: Among the wide range of cloud service providers with different performance characteristics, in order to let the cloud users find cloud services which satisfy its performance preferences and specific trust levels,it needs to establish a reasonable and scientific cloud service trust evaluation system. This paper introduces a membership degree theory into trust evaluation model. First, it designs the trust evaluation system framework of cloud services, and establishes a trust evaluation model of cloud services. Next, it calculates the trust level of cloud services with the comprehensive trust cloud center of gravity evaluation method (CCGE). Finally, the experiment results show that this model can build precise trust relationship between cloud users and cloud services based on users performance demands.

Abstract: Under the circumstance of heterogeneous wireless network, the new characteristic of heterogeneous wireless network makes great challenge to the network security. In this paper, we proposed the active defense model based on trust evaluation, introduced sensitive factors and assigned the weight to reflect the trust, through aggregation method, detect the feedback (or recommendation), select the related information, make the model can be dynamic and objective to network status. The simulation result shows that, the proposed model function well, compared with the good and malicious behavior environment.

Abstract: Most current trust management systems cannot precisely reflect the dynamic feature of trust status. Based on the fundamental trust management principles and the thin client requirements in electronic commerce applications, by introducing the concept of Important Factor in trust calculation, a centralized trust management architecture and an efficient trust evaluation method were proposed. The trust evaluation method advocates defining as less formulae as possible to enable a simple and efficient trust evaluation system. And the parameters in trust evaluation equation can vary to adapt to different application environments. The simulation shows the new trust management model could precisely reflect the dynamic feature of trust status.

Abstract: This paper, present a novel model to resolve the problems of evaluating trust value of nodes, and prepare a dynamic supervising in ad hoc network as well. Trust evaluation is not only based on direct interactions among nodes, but also observing previous behaviors of nodes, which come from all interactions through the network. This model specially decreases the delay time of selecting a new head for each cluster, which leads to prepare a dynamic monitoring in intra cluster and inter cluster in ad hoc network.

Abstract: Trust management is now one of the interesting research topics in the field of web security. Firstly, several existing trust models are analyzed. Aiming at flaws of these models, the subject trust model based on fuzzy comprehensive evaluation is proposed, thus solving the evaluation problem of subjects trust degree in trust model. An effective evaluation strategy for trust degree vector of subject trust model is given. Finally, a concrete example is provided and has proved the rationality and feasibility of the model.

Abstract: In manufacturing grid, trust management is the core component, which is associated with resource sharing, role assignment etc. How to compute and evaluate the recommended trust is very important for cooperation among resource entities coming from different domains. In order to resolve the problem, a two-layer domain structure is constructed to organize the distributed cross-domain cooperation and the corresponding trust value evaluation algorithm is designed based on the structure. At last, an application prototype is developed to show the validity and the practicability of the proposed method.

Abstract: In allusion to the trust evaluation of partner in Dynamic Virtual Enterprise, a trading practice based trust evaluation model was constructed. The trust evaluation process was divided into real-time feedback information based evaluation, trading history based evaluation and comprehensive evaluation, and the computing methods of every process were put forward. In trading history based evaluation, the relative between the weight of every trading and its trading time was researched. A correction factor of evaluation value was introduced in the process of comprehensive evaluation to reduce the influence of subjective factors in feedback information. Through the research and analysis of simulate experiment, the feasibility and the rationality of this trust evaluation model was verified.