• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.2
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• pp.112-119
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• 2009

Telecare, one of the e-healthcare services with lCT, is a promising technology which aims to monitor the state of patients and then provide the medical services appropriately in remote sites. Virtual telecare team based on the concept of virtual collaborative teams which consist of a patient, a doctor, and a telecare team, operates on a temporary basis in need. Reputation, which means the degree of a patient's belief to a doctor in consideration, is the most important factor to make the virtual telecare team trustable. In this paper, we propose the fuzzy reputation model of a virtual telecare team, which is a reputation-based trust model based on fuzzy set theory. An illustrative example is also given in order to show the applicability of the model to the concept of a virtual telecare team.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.4
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• pp.2171-2195
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• 2017

When purchasing an online product, a customer tends to be influenced strongly by its reputation, the aggregation of other customers' ratings on it. The reputation, however, is not always trustable since it can be manipulated easily by attackers who intentionally give unfair ratings to their target products. In this paper, we first address identifying trustable users who tend to give fair ratings to products in online rating systems and then propose a method of computing true reputation of a product by aggregating only those trustable users' ratings. In order to identify the trustable users, we list some candidate features that seem related significantly to the trustworthiness of users and verify the robustness of each of the features through extensive experiments. By finding and exploiting these robust features, we are able to identify trustable users and to compute true reputation effectively and efficiently based on fair ratings of those trustable users.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.7
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• pp.1569-1584
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• 2013

Ubiquitous interaction in a pervasive environment is the main attribute of smart spaces. Pervasive systems are weaving themselves in our daily life, making it possible to collect user information invisibly, in an unobtrusive manner by known and even unknown parties. Huge number of interactions between users and pervasive devices necessitate a comprehensive trust model which unifies different trust factors like context, recommendation, and history to calculate the trust level of each party precisely. Trusted computing enables effective solutions to verify the trustworthiness of computing platforms. In this paper, we elaborate Unified Trust Model (UTM) which calculates entity's trustworthiness based on history, recommendation, context and platform integrity measurement, and formally use these factors in trustworthiness calculation. We evaluate UTM behaviour by simulating in different scenario experiments using a Trust and Reputation Models Simulator for Wireless Sensor Networks. We show that UTM offers responsive behaviour and can be used effectively in the low interaction environments.

• Asia pacific journal of information systems
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• v.13 no.4
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• pp.49-72
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• 2003

Despite the phenomenal growth of Internet users in recent years, the penetration rate of B2C electronic commerce(EC) is still low. According to previous studies, one of most often cited reasons is the lack of consumers' trust. Although trust is an important concept in B2C EC, there is a lack of theory-based empirical research in this area. In this paper, influencing factors are proposed for investigating the nature of trust in the specific context of B2C EC. Thirteen hypotheses are empirically tested. The results show that most of hypotheses are supported except for perceived size, perceived competence, perceived reputation, familiarity and third party recognition. In addition trust was found to have a strong positive effect on intention to purchase. Finally, trust was found to have a mediation effect between on influencing factors and intention to purchase. Implications of these findings are discussed for researchers and practitioners.

• The Journal of Information Systems
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• v.24 no.2
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• pp.1-22
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• 2015

Purpose This study identified the factors influencing on the continuous purchase of social commerce and analyzed the proposed model empirically using structural model. Design/methodology/approach Five independent factors such as economic benefit, social pressure, personal innovativeness, security and reputation and two mediating factors such as value perception and trust were extracted and relationships were explored. This study was carried out through customer survey and statistical analysis on the survey. Findings The result showed that three independent variables such as economic benefit, social pressure and security significantly affected on value perception and trust. Moreover, personal innovativeness and reputation did not have significant influence on customer purchase intention showing different result from the cases of traditional electronic commerce. The results of this study are meaningful in that factors affecting customer purchase intention in social commerce were identified from comprehensive perspective and the importance of customer profit and social influence was verified through empirical study in social commerce.

• Asia pacific journal of information systems
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• v.16 no.1
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• pp.103-125
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• 2006

Online game business has emerged as the most lucrative entertainment industry, with over 10 million players in South Korea and over 30million in Japan in 2005. While the interactive entertainment market continues to expand, with many new online game publishers entering the market, relatively little theory has been developed about which factors influence online gamers' behavioral intentions (i.e., loyalty, satisfaction, words of mouth, etc.) in this area. The purpose of this research is to investigate the relationships among the gamers' satisfaction, trust toward game publishers, the role of online game community, social reputation, and the managerial support of game publishers. We also examine the differences between Korean and Japanese gamers concerning the relationships of these key success factors. The structural model is tested with the data from entire data samples (i.e., Korean and Japanese gamers pooled together) and each of the sub-samples (i.e., Korean and Japanese gamers taken separately). Properties of the causal paths, including standardized path coefficients, the significance of difference, and variance explained for Trust and Satisfaction in the hypothesized model, are presented. Following the model test, we conduct a test of the differences in path coefficients between Korean and Japanese gamers. Statistical results show that, compared to Japanese gamers, Korean gamers had a greater salient effect on Social Reputation in determining. Trust, in addition to placing a greater emphasis on Support of Game Publishers in determining Social Reputation. Other interesting results concerning game Publishers' strategy are also presented.

• Management & Information Systems Review
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• v.35 no.3
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• pp.115-130
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• 2016

This study aims to identify which social information have significant influence on the improvement of recommendation trust and how these effects can be different according to the product involvement level. Based on the relevant literature reviews, this study posits four characteristics of recommendation trust, which are closeness, similarity, sincerity, and reputation, and established a research model for the relationship between social information and recommendation trust. And we found a moderating effect of product involvement on the relationship between social information and recommendation trust. 205 trust relationships(links) from 55 respondents of Google Docs. survey data have been collected and tested using multiple regression and hierarchical regression analysis. The results of our hypotheses testing are summarized as follows. Firstly, four social information characteristics of closeness, similarity, sincerity, and reputation have a significantly positive effect on recommendation trust. Secondly, a moderating effect of product involvement between recommendation trust and antecedents (e.g., closeness and reputation) of social information is significant. From the results, we provide theoretical and managerial implications, and suggestions for further research.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.7
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• pp.3386-3411
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• 2019

Secured and reliable routing is a crucial factor for improving the performance of Wireless Mesh Networks (WMN) since these networks are susceptible to many types of attacks. The existing assumption about the internal nodes in wireless mesh networks is that they cooperate well during the forwarding of packets all the time. However, it is not always true due to the presence of malicious and mistrustful nodes. Hence, it is essential to establish a secure, reliable and stable route between a source node and a destination node in WMN. In this paper, a trust based secure routing algorithm is proposed for enhancing security and reliability of WMN, which contains cross layer and subject logic based reliable reputation scheme with security tag model for providing effective secured routing. This model uses only the trusted nodes with the forwarding reliability of data transmission and it isolates the malicious nodes from the providing path. Moreover, every node in this model is assigned with a security tag that is used for efficient authentication. Thus, by combining authentication, trust and subject logic, the proposed approach is capable of choosing the trusted nodes effectively to participate in forwarding the packets of trustful peer nodes successfully. The simulation results obtained from this work show that the proposed routing protocol provides optimal network performance in terms of security and packet delivery ratio.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.10
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• pp.3793-3814
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• 2021

Most secure solutions like cryptography are software based and they are designed to mainly deal with the outside attacks for traditional networks, but such soft security is hard to be implemented in wireless sensor networks to counter the inside attacks from internal malicious nodes. To address this issue, reputation has been introduced to tackle the inside malicious nodes. Reputation is essentially a stimulating mechanism for nodes' cooperation and is employed to detect node misbehaviors and improve the trust-worthiness between individual nodes. Among the reputation models, binomial distribution based reputation has many advantages such as light weight and ease of implementation in resource-constraint sensor nodes, and accordingly researchers have proposed many insightful related methods. However, some of them either directly use the modelling results, apply the models through simple modifications, or only use the required components while ignoring the others as an integral part of the whole model, this topic still lacks a comprehensive and systematical review. Thus the motivation of this study is to provide a thorough survey concerning each detailed functional components of binomial distribution based reputation for wireless sensor networks. In addition, based on the survey results, we also argue some open research problems and suggest the directions that are worth future efforts. We believe that this study is helpful to better understanding the reputation modeling mechanism and its components for wireless sensor networks, and can further attract more related future studies.

• Journal of Information Processing Systems
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• v.13 no.6
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• pp.1613-1627
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• 2017

The concept of the Internet of Things (IoT) enables physical objects or things to be virtually accessible for both consuming and providing services. Undue access from irresponsible activities becomes an interesting issue to address. Maintenance of data integrity and privacy of objects is important from the perspective of security. Privacy can be achieved through various techniques: password authentication, cryptography, and the use of mathematical models to assess the level of security of other objects. Individual methods like these are less effective in increasing the security aspect. Comprehensive security schemes such as the use of frameworks are considered better, regardless of the framework model used, whether centralized, semi-centralized, or distributed ones. In this paper, we propose a new semi-centralized security framework that aims to improve privacy in IoT using the parameters of trust and reputation. A new algorithm to elect a reputation coordinator, i.e., ConTrust Manager is proposed in this framework. This framework allows each object to determine other objects that are considered trusted before the communication process is implemented. Evaluation of the proposed framework was done through simulation, which shows that the framework can be used as an alternative solution for improving security in the IoT.