Trust Models in Grid Computing: A Review

2019 ◽  
Vol 13 (2) ◽  
pp. 94-100
Author(s):  
Dolly Sharma ◽  
Shailendra Singh ◽  
Mamta Mittal
Keyword(s):  
Grid Computing ◽  
Real World ◽  
Trust Management ◽  
Evaluation Model ◽  
Three Dimensional ◽  
Trust Model ◽  
Trust Evaluation ◽  
Grid Environment ◽  
Trust Value ◽  
Trust Models

Background: Grid computing relates to a pool of resources to be shared by users in Grid Environment. Security of the resources from users and vice-versa is a significant issue. This is where the notion of trust comes into existence. A number of researchers have proposed models for evaluation of trust in grid computing, but they fail to spot one or the other parameters for trust evaluation. The essence of trust models in grid computing is that they offer autonomic trust management. An autonomic trust model has been patented by Z. Yan and C. Prehofer in 2009. Another patent was published by Anna University in 2010 to evaluate the trustworthiness of a resource provider in Grid environment. Objective: This paper firstly focuses and illustrates these essential parameters. Based on these parameters, further, a comparison of some existing models for trust evaluation is shown. Finally, common parameters missed out by various models have been highlighted giving way for improvements of Trust model. Methods: A Trust evaluation model has been proposed by us previously based on a number of real-world trust evaluation parameters. This model sees trust as a three-dimensional entity. Trust is based on Dempter Shafer’s theory in which trust is calculated mathematically. Results: Software trust needs to be calculated mathematically. There are a large number of real-world parameters that need to be included for evaluating trust. Conclusion: As trust models in research are based on simulation techniques, so it is important to include real-world factors that affect trust value of one entity on other. Some of those parameters, missed by most of the models have been identified for inclusion in future trust models.

scholarly journals A Customer-Centric Trust Evaluation Model for Personalized Service Selection

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Junwei Zhang ◽  
Deyu Li ◽  
Xiaoqin Fan
Keyword(s):  
Web Services ◽  
Trust Management ◽  
Consumer Preferences ◽  
Evaluation Model ◽  
Service Selection ◽  
Trust Evaluation ◽  
Personalized Service ◽  
Proposed Model ◽  
Trust Models ◽  
Customer Trust

Trust is a very important criterion when service customers select desired Web services from a cluster of Web services with the same function. Most existing trust models cannot effectively implement personalized service selection with regard to consumer preferences and expectations. This paper designs a novel trust management method based on peer-to-peer network and presents a customer-centric trust evaluation model for personalized service selection. The trust evaluation model firstly maintains consumer-to-consumer trust values that are calculated according to preference similarity between customers, secondly gathers ratings on services submitted by other consumers, then synthesizes customer-to-customer trust and these ratings to generate personalized consumer-to-service trust, and finally selects the desired services according to the expected trust levels presented by customers. This paper conducts some experiments to demonstrate the details of service selection. Experimental results show that this model has good applicability to implement personalized service selection. The proposed model well simulates the reality.

Modelling Self-Led Trust Value Management in Grid and Service Oriented Infrastructures

2012 ◽  
pp. 122-139
Author(s):  
Antony Brown ◽  
Paul Sant ◽  
Nik Bessis ◽  
Tim French ◽  
Carsten Maple
Keyword(s):  
Trust Management ◽  
Large Scale ◽  
Ad Hoc ◽  
Trust Model ◽  
Management Decision ◽  
Value Management ◽  
Trust Value ◽  
Graph Theoretic ◽  
Collaborative Environment ◽  
Service Oriented

Current developments in grid and service oriented technologies involve fluid and dynamic, ad hoc based interactions between delegates, which in turn, serves to challenge conventional centralised structured trust and security assurance approaches. Delegates ranging from individuals to large-scale VO (Virtual Organisations) require the establishment of trust across all parties as a prerequisite for trusted and meaningful e-collaboration. In this paper, a notable obstacle, namely how such delegates (modelled as nodes) operating within complex collaborative environment spaces can best evaluate in context to optimally and dynamically select the most trustworthy ad hoc based resource/service for e-consumption. A number of aggregated service case scenarios are herein employed in order to consider the manner in which virtual consumers and provider ad hoc based communities converge. In this paper, the authors take the view that the use of graph-theoretic modelling naturally leads to a self-led trust management decision based approach in which delegates are continuously informed of relevant up-to-date trust levels. This will lead to an increased confidence level, which trustful service delegation can occur. The key notion is of a self-led trust model that is suited to an inherently low latency, decentralised trust security paradigm.

A Dynamic Trust Evaluation Model for Internet Computing

2013 ◽  
Vol 397-400 ◽  
pp. 1949-1953 ◽  
Author(s):  
Feng Li ◽  
Ya Li Si
Keyword(s):  
Evaluation Model ◽  
Trust Model ◽  
Internet Security ◽  
Trust Evaluation ◽  
Trust Mechanism ◽  
Internet Computing ◽  
Trust Degree ◽  
Dynamic Trust ◽  
Simulation Results

Trust mechanism has been identified as one of key areas in the field of Internet security. Our objective in this paper is to develop a dynamic trust evaluation model for Internet computing. The proposed scheme divides the recommendation trust into the direct recommendation trust and the indirect recommendation trust, and considers variety of factors to calculate the two types of recommendation trust degree. Simulation results show that, compared to the existing trust model, the model can effectively improve the accuracy of trust evaluation, and provide a better capacity of resisting malicious entities.

scholarly journals A Trust-Based Predictive Model for Mobile Ad Hoc Networks

2021 ◽  
Vol 11 (03) ◽  
pp. 13-23
Author(s):  
K. Divya ◽  
B. Srinivasan
Keyword(s):  
Ad Hoc Networks ◽  
Mobile Ad Hoc Networks ◽  
Ad Hoc ◽  
Trust Model ◽  
Trust Value ◽  
Trust Models ◽  
Indirect Trust ◽  
Mobile Ad Hoc ◽  
Hoc Networks ◽  
The Internet Of Things

The Internet of things (IoT) is a heterogeneous network of different types of wireless networks such as wireless sensor networks (WSNs), ZigBee, Wi-Fi, mobile ad hoc networks (MANETs), and RFID. To make IoT a reality for smart environment, more attractive to end users, and economically successful, it must be compatible with WSNs and MANETs. In light of this, the present paper discusses a novel quantitative trust model for an IoT-MANET. The proposed trust model combines both direct and indirect trust opinion in order to calculate the final trust value for a node. Further, a routing protocol has been designed to ensure the secure and reliable end-to-end delivery of packets by only considering trustworthy nodes in the path. Simulation results show that our proposed trust model outperforms similar existing trust models.

scholarly journals Trust management in social Internet of vehicles: Factors, challenges, blockchain, and fog solutions

2019 ◽  
Vol 15 (1) ◽  
pp. 155014771982582 ◽  
Author(s):  
Razi Iqbal ◽  
Talal Ashraf Butt ◽  
Muhammad Afzaal ◽  
Khaled Salah
Keyword(s):  
Internet Of Things ◽  
Trust Management ◽  
Vehicular Networks ◽  
High Efficiency ◽  
Fog Computing ◽  
Trust Model ◽  
The Internet ◽  
Internet Of Vehicles ◽  
Social Internet Of Things ◽  
Trust Models

The Internet of things is the next stage in the evolution of the Internet that is being materialized with the integration of billions of smart objects. The state-of-the-art communication technologies have enabled the previously isolated devices to become an active part of the Internet. This constant connectivity opens new avenues for novel applications such as the realization of social Internet of things and its subdomain the social Internet of vehicles. Socializing requires sharing of information that entails trust, especially in an open and broad social environment. This article highlights the key factors involved in conceptualizing an efficient trust model for social Internet of vehicles. Furthermore, it focuses on the unique challenges involved in designing the trust models for social Internet of vehicles. Several trust models exist in literature; however, most of the existing trust models are specific to their domains, for example, Internet of things, social Internet of things, or general vehicular networks. This article presents a brief review of the trust models that have the potential to be implemented in Social Internet of vehicles. Finally, the authors present an overview of how trending concepts and emerging technologies like blockchain and fog computing can assist in developing a trust-based social Internet of vehicles model for high-efficiency, decentralized architecture and dynamic nature of vehicular networks.

Trust Management Model based on Fuzzy Approach for Ubiquitous Computing

2016 ◽  
Vol 7 (2) ◽  
pp. 33-46 ◽  
Author(s):  
Nalini A. Mhetre ◽  
Arvind V. Deshpande ◽  
Parikshit Narendra Mahalle
Keyword(s):  
Ubiquitous Computing ◽  
Trust Management ◽  
Future Internet ◽  
Trust Model ◽  
Model Based ◽  
Trust Relationships ◽  
Current State ◽  
Proposed Model ◽  
Security Properties ◽  
Trust Models

The current state of ubiquitous computing has been greatly influenced by emerging networking developments like Internet of Things (IoT), Future Internet etc. Adequate trust management is crucial to provide security. The entities involved in communication must be trusted for specific purposes depending on their role. Using trust model, devices can run trust computations and guide their behaviors. To this effect, a method is needed to evaluate the level of trust between devices. Trust models investigated so far discusses that devices face problems when communicating as transforming trust relationships from real to virtual world requires the negotiation of trust based on the security properties of devices. However, these models are developed in limited devices. This paper proposes a distributed trust model for device-to-device communication in ubiquitous computing. Mathematical model based on fuzzy rules to establish trust is presented. Fuzzy simulation of the model is presented to validate the findings. Simulation results show that proposed model calculates fuzzy trust values reliably.

Reliable Trust Computation model in Vehicular ad-hoc Network

2020 ◽  
Vol 1 (3) ◽  
pp. 1-5
Author(s):  
Sonam Soni
Keyword(s):  
Ad Hoc Network ◽  
Trust Management ◽  
Ad Hoc ◽  
Trust Model ◽  
Vehicular Ad Hoc Network ◽  
Security Requirements ◽  
Computation Model ◽  
New Techniques ◽  
Trust Models ◽  
Trust Calculation

This paper concerns about the various implemented work has been studied and analyzed to form a new survey on trust model to VANET. In this paper it is observed that there are lot of new techniques are possible to form a new trust model in VANET to provide better security with trust concern over the entire environment of trust management in VANET. This work concerns of entire trust calculation work which has been done yet over it. Here summarizing the various trust models, various security requirements, issues over it.

scholarly journals LSOT: A Lightweight Self-Organized Trust Model in VANETs

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Zhiquan Liu ◽  
Jianfeng Ma ◽  
Zhongyuan Jiang ◽  
Hui Zhu ◽  
Yinbin Miao
Keyword(s):  
Automobile Industry ◽  
Trust Management ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Trust Model ◽  
Trust Evaluation ◽  
Trust Network ◽  
Collusion Attack ◽  
Self Organized ◽  
Hoc Networks

With the advances in automobile industry and wireless communication technology, Vehicular Ad hoc Networks (VANETs) have attracted the attention of a large number of researchers. Trust management plays an important role in VANETs. However, it is still at the preliminary stage and the existing trust models cannot entirely conform to the characteristics of VANETs. This work proposes a novel Lightweight Self-Organized Trust (LSOT) model which contains trust certificate-based and recommendation-based trust evaluations. Both the supernodes and trusted third parties are not needed in our model. In addition, we comprehensively consider three factor weights to ease the collusion attack in trust certificate-based trust evaluation, and we utilize the testing interaction method to build and maintain the trust network and propose a maximum local trust (MLT) algorithm to identify trustworthy recommenders in recommendation-based trust evaluation. Furthermore, a fully distributed VANET scenario is deployed based on the famous Advogato dataset and a series of simulations and analysis are conducted. The results illustrate that our LSOT model significantly outperforms the excellent experience-based trust (EBT) and Lightweight Cross-domain Trust (LCT) models in terms of evaluation performance and robustness against the collusion attack.

scholarly journals Research on Subject Trust Evaluation Based on Fuzzy Theory

2011 ◽  
Vol 1 ◽  
pp. 52-56 ◽  
Author(s):  
Xin Fei Liao
Keyword(s):  
Trust Management ◽  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Fuzzy Comprehensive Evaluation ◽  
Trust Model ◽  
Web Security ◽  
Trust Degree ◽  
Evaluation Problem ◽  
Trust Models ◽  
The Subject

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.

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