Multi-dimensional Trust Evaluation Research Articles

A novel multidimensional trust evaluation and fusion mechanism in fog-based Internet of Things

With the fast advancement of IoT, it has gained more attention from industry and academia. However, because diverse security attacks result in the lack of trust between IoT edge devices and the network, a proper trust mechanism is necessary. To address the issue, a novel trust management approach is proposed in this work. In particular, we have proposed a multidimensional trust evaluation mechanism to comprehensively evaluate the trustworthiness of IoT edge devices, with diverse opinions formed by different network entities after observing. Next, a novel trust fusion scheme named JSDM-AHP that integrates the objective Jensen–Shannon divergence measure (JSDM) and analytic hierarchy process (AHP) is developed to fuse diverse decision factors. Theoretical analysis and simulation results show that the proposed trust strategy has high computation-efficiency, scalability, resilience, robustness, and outperforms all the other compered methods in reliability. Furthermore, with the proposed security approach, diverse cyber attacks such as flooding attacks, random attacks, conflicting behavior attacks, on–off attacks, and recommendation attacks can well be defended against, reflecting the high security of the method.

Retraction Note to : Secure routing scheme with multi-dimensional trust evaluation for wireless sensor network

Retraction Note to : Secure routing scheme with multi-dimensional trust evaluation for wireless sensor network

Research on Multidimensional Trust Evaluation Mechanism of FinTech Based on Blockchain

Research on Multidimensional Trust Evaluation Mechanism of FinTech Based on Blockchain

RETRACTED ARTICLE: Secure routing scheme with multi-dimensional trust evaluation for wireless sensor network

Security has been always a major concern in wireless network irrespective of evolving safety protocols, which motivates various researchers to explore an effective security solution. Existing encryption-based solution offers security but at the cost of resources which are sometime highly limited in communication devices. Therefore, this paper discusses about trust evaluation that is one of the critical operations for ascertaining the degree of security strength offered by the sensor nodes in Wireless Sensor Network (WSN). Existing research work has been carried out to find a strong connection between the resource efficiency and the critical security approaches; however, these approaches are not proven for lightweight energy efficient security scheme. Therefore, the proposed system developed using analytical approach offers a secured communication scheme that evaluates the comprehensive trust value for the target relay node followed by reputation value from the neighboring node in order to perform an effective selection of legitimate relay node. The authentication process has been carried out using progressive key-generation process while the resource efficiency is maintained by developing multi-dimensional trust computation. The essential contribution of the proposed model is to offer an effective balance between resource efficiency and trust-reputation based security strengthening features. The outcome shows that proposed model offers 75% of retention of energy-efficient nodes with more predictable energy dissipation trend. It also offers 82% of reduction of energy fluctuation during the entire operation which is again found to be 35% faster than existing approaches. The simulated outcome of study exhibits that proposed system offers better data transmission performance with significant energy efficiency in comparison to existing scheme.

Cooperative caching game based on social trust for D2D communication networks

SummaryContent sharing via device‐to‐device (D2D) communications has become a promising method to increase system throughput and reduce traffic load. Due to the characteristic of spectrum sharing in D2D network, confidentiality is becoming a key issue in content transmission. Secure communication in D2D networks is generally guaranteed by a physical‐layer security mechanism. However, this method sacrifices the system transmission rate while ensuring security. Since mobile devices are carried by humans, we can leverage their trust relations to enhance the security of communications. As much, considering the psychology structure and social attributes of mobile users, we build a multidimensional trust evaluation mechanism to evaluate the trust relationship between users, and we pick out the trusted users based on the decision‐theoretic rough sets. By sharing content only between trust users, we can enhance the security of content transmissions without relying on physical‐layer security measures. Meanwhile, content caching is now widely used to improve accessing efficiency and reduce traffic load on cellular networks. However, caching content for other users incurs additional cost, which results in selfish and noncooperative behavior in users. Considering such selfishness, we introduce a cooperative caching game based on multidimensional trust relations to motivate users to cache contents for other devices. In this game, the trust relations and physical distance between two users are considered to formulate the cost function. Furthermore, we introduce an incentive caching algorithm based on social trust to minimize the total cost in the D2D network.

Design and Comparative Analysis of MCDM-based Multi-dimensional Trust Evaluation Schemes for Determining Trustworthiness of Cloud Service Providers

This paper presents the design and comparative analysis of MCDM-based multi-dimensional trust evaluation schemes for determining trustworthiness of Cloud Service Providers (CSPs) in a cloud environment. The trustworthiness has been defined as the degree of compliance provided by a CSP to the promised QoS parameters as per the Service Level Agreement (SLA). Due to large number of CSPs offering similar kinds of services in a cloud environment, it has become a challenging task for Cloud Clients (CCs) to identify and differentiate between trustworthy and untrustworthy CSPs. We present the design and comparative analysis of three MCDM-based techniques (AHP, TOPSIS and PROMETHEE) that enable CCs to determine the trustworthiness of a CSP from different perspectives. All the three schemes enable us to assess the trustworthiness of a CSP from CC's perspective, Cloud Auditor's perspective, Cloud Broker's perspective and Peers' perspective. Experimental results show that all the techniques are effective and stable in differentiating between trustworthy and untrustworthy CSPs. The PROMETHEE technique has shown advantage over the AHP and the TOPSIS methods in the sense that it has reported less uncertainty during evaluations. The applicability and validity of the schemes have been demonstrated with the help of a case study involving the use of real cloud data.

Compliance-based Multi-dimensional Trust Evaluation System for determining trustworthiness of Cloud Service Providers

This paper addresses the problem of determining trustworthiness of Cloud Service Providers (CSPs) in a cloud environment. For the current work, trustworthiness is defined as the degree of compliance of a CSP to the promised quantitative QoS parameters as defined in the Service Level Agreement (SLA). Due to large number of CSPs offering similar kinds of services in the cloud environment, it has become a challenging task for Cloud Clients (CCs) to identify and differentiate between the trustworthy and untrustworthy CSPs. At present, there is no trust evaluation system that allows CCs to evaluate the trustworthiness of CSPs on the basis of their adherence to the SLA i.e. the compliance provided by the CSPs to CCs as per the SLAs. This paper proposes a Compliance-based Multi-dimensional Trust Evaluation System (CMTES) that enables CCs to determine the trustworthiness of a CSP from different perspectives, as trust is a subjective concept. Such a system is of great help to CCs who want to choose a CSP from a pool of CSPs, satisfying their desired QoS requirements. The framework enables us to evaluate the trustworthiness of a CSP from the CC’s perspective, Cloud Auditor’s perspective, Cloud Broker’s perspective and Peers’ perspective. Experimental results show that the CMTES is effective and stable in differentiating trustworthy and untrustworthy CSPs. The validation of the CMTES has been done with the help of synthetic data due to lack of standardized dataset and its applicability has been demonstrated with the help of a case study involving the use of real cloud data.

A multi-dimensional trust evaluation model for large-scale P2P computing

In large-scale peer-to-peer (P2P) computing, trust management technology has become a key requirement for network security. However, trust is one of the most complex concepts in network communities. It involves many factors, such as, assumptions, expectations, behaviors, risks, and so on. As a result, trustworthiness has multi-dimensional properties. In this paper, an innovative trust model is proposed for large-scale P2P computing, in which multiple factors are incorporated to reflect the complexity of trust. More importantly, the properties (weights) of these factors are dynamically assigned by weighted moving average and ordered weighted averaging (WMA–OWA) combination algorithms. This model surpasses the limitations of existing approaches, wherein weights are assigned subjectively. The simulation results show that, compared with the existing approaches, the proposed model provides greater accuracy and a more detailed analysis in trust evaluation.

A dynamic multi-dimensional trust evaluation model to enhance security of cloud computing environments

High security of cloud computing is one of the most challenges to be addressed before the novel pas-as-you-go business paradigm is widely applied over the internet. Trust brings a novel means to improve the security of cloud computing platforms. However, there are few systematic works on trust in cloud systems. In this paper, the definition of trust in cloud systems is given and the properties of trust are analysed by referring to the fruits from social science. Based on the properties and semantics of trust, a dynamic multi-dimensional trust model named DMTC is proposed, which includes a time-variant comprehensive evaluation multi-dimensional method for expressing direct trust and a space-variant evaluation multi-dimensional method for calculating recommendation trust. To compute trust in cloud systems, an algorithm based on the DMTC model is given. Experiment results show that the proposed model can dynamically and effectively construct the trust relationship in cloud computing environment.