A Social Trust Model Considering Trustees’ Influence

2014 ◽  
pp. 357-364 ◽  
Author(s):  
Jian-Ping Mei ◽  
Han Yu ◽  
Yong Liu ◽  
Zhiqi Shen ◽  
Chunyan Miao
Keyword(s):  
Social Trust ◽  
Trust Model

A Trust Model for Detecting Device Attacks in Mobile Ad Hoc Ambient Home Network

2016 ◽  
Vol 8 (2) ◽  
pp. 16-37
Author(s):  
Akinboro Solomon ◽  
Emmanuel Olajubu ◽  
Ibrahim Ogundoyin ◽  
Ganiyu Aderounmu
Keyword(s):  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Performance Metrics ◽  
Social Trust ◽  
Trust Model ◽  
Convergence Time ◽  
Home Network ◽  
Detection Accuracy ◽  
Malicious Nodes ◽  
Mobile Ad Hoc

This study designed, simulated and evaluated the performance of a conceptual framework for ambient ad hoc home network. This was with a view to detecting malicious nodes and securing the home devices against attacks. The proposed framework, called mobile ambient social trust consists of mobile devices and mobile ad hoc network as communication channel. The trust model for the device attacks is Adaptive Neuro Fuzzy (ANF) that considered global reputation of the direct and indirect communication of home devices and remote devices. The model was simulated using Matlab 7.0. In the simulation, NSL-KDD dataset was used as input packets, the artificial neural network for packet classification and ANF system for the global trust computation. The proposed model was benchmarked with an existing Eigen Trust (ET) model using detection accuracy and convergence time as performance metrics. The simulation results using the above parameters revealed a better performance of the ANF over ET model. The framework will secure the home network against unforeseen network disruption and node misbehavior.

A Model of Online Trust Among Adolescents

2019 ◽  
Vol 9 (2) ◽  
pp. 34-50
Author(s):  
Avin Fadilla Helmi ◽  
Wahyu Widhiarso ◽  
Adelia Khrisna Putri ◽  
Ramadhan Dwi Marvianto ◽  
Acintya Ratna Priwati ◽  
...  
Keyword(s):  
Social Support ◽  
High School Students ◽  
Significant Influence ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Social Trust ◽  
Self Esteem ◽  
Trust Model ◽  
Self Disclosure ◽  
Online Trust

This study identified factors that contribute to adolescents' online trust. Two hypotheses are stated: (1) there is a significant influence of social loneliness and self-esteem toward self-disclosure; and (2) social support has a significant influence toward online trust, with self-disclosure as a mediator. 205 high school students completed a survey covering four self-rated scales: online trust, self-disclosure, social support, and loneliness. Each scale met the psychometric standards of validity and reliability. Data was analyzed using structural equation modelling (SEM). The findings confirmed both hypotheses. The Goodness of Fit as indicated by a chi-square coefficient of 345.06 (p = .00); RMSEA: .04; CFI: .98; and TLI: .98, exceeded the set criteria. The main determinant of the direct effect of social trust and online trust model (β = .35**) was self-disclosure, a mediator on the effect of social support toward online trust (β = .05). The variables which directly influenced self-disclosure were loneliness (β = -.31**), self-esteem (β = .14), and social support (β = .24**).

scholarly journals Identity management-based social trust model for mediating information sharing and privacy enhancement

2011 ◽  
Vol 5 (8) ◽  
pp. 887-897 ◽  
Author(s):  
Mucheol Kim ◽  
Jiwan Seo ◽  
Sanghyun Noh ◽  
Sangyong Han
Keyword(s):  
Information Sharing ◽  
Identity Management ◽  
Social Trust ◽  
Trust Model

Research on Reputation and Risk Evaluation-Trust for Cloud Environment

2014 ◽  
Vol 488-489 ◽  
pp. 1331-1335
Author(s):  
Pei Yin ◽  
Xiao Lan Xie ◽  
De Jian Zhou
Keyword(s):  
Risk Evaluation ◽  
Service Providers ◽  
Social Trust ◽  
Trust Model ◽  
Cloud Environment ◽  
Security Issues ◽  
Evaluation Algorithm ◽  
Service Behavior ◽  
Trust Models ◽  
Special Environment

This paper which starts from the characteristics of human social trust relationship, researches the trust in cloud computing environment. At present, the commercial cloud environment exist two main safe problems: one is the cloud platform trust security problems in their own special environment, the second is the security issues on the network of cheating, false, malicious ads and spam trust security . Aiming at solving this problem, on the basis of the existing trust models, this paper studies the cloud environment trust models according to the characteristics of the cloud environment, constructs a model of trust in the cloud environmentReputation and Risk Evaluation-Trust Model (RRE-Trust), and improves the trust evaluation algorithm. Finally, the experiment results show that, compared with the existing trust models, the proposed evaluate method of this model is closer to the real service behavior of service providers, resist effectively all kinds of malicious behaviors, shows a good robustness and ability in recognize.

scholarly journals GSTR: Secure multi-hop message dissemination in connected vehicles using social trust model

2019 ◽  
Vol 7 ◽  
pp. 100071 ◽  
Author(s):  
Anirudh Paranjothi ◽  
Mohammad S. Khan ◽  
Sherali Zeadally ◽  
Ajinkya Pawar ◽  
David Hicks
Keyword(s):  
Social Trust ◽  
Trust Model ◽  
Connected Vehicles ◽  
Message Dissemination

scholarly journals Trust Evaluation Model for Internet of Things using Mobile Ad hoc Networks

2021 ◽  
Vol 6 (4) ◽  
Author(s):  
Stephen A. Mogaji ◽  
Olaniyi A. Ayeni ◽  
Oluwaseun G. Fadare
Keyword(s):  
Quality Of Service ◽  
Internet Of Things ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Social Trust ◽  
Trust Model ◽  
The Internet ◽  
Mobile Ad Hoc ◽  
Trust Metrics

Internet of Things (IoT) is a theory that embraces various objects and methods of communication to exchange information. Today, IoT is more a descriptive term of a vision that everything should be linked to the internet. As many as the advantages of IoT, its uniqueness poses a new problem in establishing a trustworthy environment amid some of the items due to the lack of appropriate implementation machineries. However, some common network security measures are not adequate to preserve the integrity of information and services exchanged over the internet. As a result, they remain vulnerable to threats ranging from cyber-physical layer and social layer data management risks. IoT in smart environments interrelates with mobile ad hoc network (MANET), becoming even more attractive and economically successful. This research proposes two different metrics approaches namely Social trust metrics and Quality of Service to evaluate the trustworthiness of IoT Applications using MANET nodes and designing trust metrics that are computed using multiple properties of trust and quality of service.  A model would be designed and simulated in NS-2.  The findings of the investigation into the evaluation of trustworthiness and network performance are presented. The proposed system model has 99.31% accuracy when there were 10%malicious nodes in the network. When the number of misbehaving nodes was increased to 50%, the accuracy level dropped to 98.75 percent, a difference of only 0.56%. The results show that the security and trustworthiness of the proposed system is an improvement over the existing models like Collaborative Reputation (CORE) trust model and Ant Based Evidence Distribution (trust) model. The proposed model can be used to address security challenges in a network environment. Keywords— Confidence, Honesty, IoT, MANET, QoS, Trustworthiness.

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