• International Journal of Computer Science & Network Security
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• v.24 no.7
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• pp.101-107
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• 2024

Cloud computing is a widely used technology that has changed the way people and organizations store and access information. This technology is quite versatile, which is why extensive amounts of data can be stored in the cloud. Furthermore, businesses can access various services over the cloud without having to install applications. However, the cloud computing services are provided over a public domain, which means that both trusted and non-trusted users can access the services. Though there are several advantages of cloud computing services, especially to business owners, various challenges are also posed in terms of the privacy and security of information and online services. A kind of threat that is widely faced in the cloud environment is the on/off attack. In this kind of attack, a few entities exhibit proper behavior for a given time period to develop a highly a positive reputation and gather trust, after which they exhibit deception. A viable solution is provided by the given trust model for preventing the attacks. This method works by providing effective security to the cloud services by identifying malicious and inappropriate behaviors through the application of trust algorithms that can identify on-off attacks.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.4
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• pp.127-132
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• 2014

Some laws and regulations may require internet service providers to provide services based on the age of users. Age verification in the online environment should be used as a tool to provide service that is appropriate to child based on age. Using the minimum attribute information, processes on age verification provides the proper guidance to the internet services. However, there is a lack of a globally accepted trust framework for age verification process including evaluation factors for age verification information. In this paper the federation model of user attributes were described and evaluation factors for the age verification information were suggested. Also using the suggested evaluation factors, performance evaluation of federation model of user evaluation was performed. To meet the requirements of evaluation factors, framework of federation model should consider the unlinkability pseudonym support, eavesdropping protection and cloning protection.

• Asia pacific journal of information systems
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• v.13 no.1
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• pp.197-211
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• 2003

Intensified competition, splintered mass market, shortened product life cycles, and advanced technology and automation let companies to crease the IT investment to meet the changes, Although IT investment increased, IS didn't show the visible outcome. One of the major interest of IS managers is how to demonstrate the business value of the firm's investment in information technology. This paper proposes the revised model of Nelson & Cooprider(1990) regarding shared knowledge between IS and line groups. Knowledge can be shared through mutual trust, mutual influence and communication between these two groups. The revised model including communication is tested empirically using LISREL. The results show that shared knowledge mediated the relationship between IS performance and mutual trust, mutual influence and communication. And shared knowledge between IS and line groups increase IS performance. IS managers should develop mutual trust, mutual influence and communication between these groups to achieve more shared knowledge and higher IS performance.

• Convergence Security Journal
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• v.17 no.4
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• pp.11-16
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• 2017

MANET composed of only mobile node is applied to various environments because of its advantage which can construct network quickly in emergency situation. However, many routing vulnerabilities are exposed due to the dynamic topology and link failures by the movement of nodes. It can significantly degrade network performance. In this paper, we propose a secure routing protocol based on trust model. The domain-based network structure is used for efficient trust evaluation and management of nodes in the proposed technique. The reliability evaluation of nodes was performed by the discard ratio of control packet and data packet of the nodes. The abnormal nodes are detected by performing traffic check and inspecting of nodes on a path that generates excessive traffic in order to increase the efficiency of routing. It is confirmed through experiments of the proposed technique that data transmission is performed securely even if an attack exists on the path.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.4
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• pp.1773-1795
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• 2020

Unmanned aerial vehicles (UAVs) network are a very vibrant research area nowadays. They have many military and civil applications. Limited bandwidth, the high mobility and secure communication of micro UAVs represent their three main problems. In this paper, we try to address these problems by means of secure clustering, and a security clustering algorithm based on integrated trust value for UAVs network is proposed. First, an improved the k-means++ algorithm is presented to determine the optimal number of clusters by the network bandwidth parameter, which ensures the optimal use of network bandwidth. Second, we considered variables representing the link expiration time to improve node clustering, and used the integrated trust value to rapidly detect malicious nodes and establish a head list. Node clustering reduce impact of high mobility and head list enhance the security of clustering algorithm. Finally, combined the remaining energy ratio, relative mobility, and the relative degrees of the nodes to select the best cluster head. The results of a simulation showed that the proposed clustering algorithm incurred a smaller computational load and higher network security.

• Journal of Distribution Science
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• v.16 no.11
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• pp.57-64
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• 2018

Purpose - As the importance of salesperson attitudes and behaviors enhancing customer perception and loyalty have increased, many retail companies put emphasis on internal marketing activities. The issue also has captured the interest of academics, but most of the previous research tends to be limited to investigating antecedents of salesperson job satisfaction and commitment. Based on the consumer-brand relationship concepts, this study aims to examine the effects of the salesperson-brand relationships on customers' service evaluation and store loyalty. Research design, data, and methodology - In a structural equation model, it is hypothesized that salesperson brand identification influences salespersons' brand trust and affect, which are the two dimensions of consumer-brand relationships. Salespersons' brand trust and affect are expected to increase salespersons' customer orientation, which in turn influences customers' service evaluations and store loyalty. To test this hypotheses a set of data collected from department stores in Seoul is utilized. Results - First, it was found that salesperson brand identification is a significant antecedent to salespersons' brand trust and affects, the two dimensions of salesperson brand relationships. Second, salespersons' brand trust and affect were found to enhance salespersons' customer-oriented behaviors. Third, salespersons' customer orientation showed a significant effect on customers' service evaluation. When a salesperson makes more effort to provide useful information for fulfilling customer needs, customers evaluate the salesperson's service more positively. Finally, customers' service evaluation had a positive impact on customers' store loyalty. Conclusions - This study provides significant academic and practical implications. First, based on the theory of consumer-brand relationships, the concept of salesperson-brand relationships was introduced and found to be an effective motivator of salespersons' customer oriented attitudes and behaviors. Therefore, the two dimensions of brand relationships, brand trust and affect, should be considered as the critical factors both in developing theoretical research and improving long-term company performance. Also, internal marketing activities should focus on maximizing employees' brand identification. That is, retail companies need to put emphasis on sharing their brand values and personality with internal customers to strengthen the brand relationships with salespersons and to enhance customer responses.

• The Journal of Society for e-Business Studies
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• v.23 no.2
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• pp.1-20
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• 2018

Car Sharing Service is provided with sharing the vehicleas you can use it anywhere and anytime. The paper verified the factors impact between providing infrastructure characteristics such as scarcity, system quality and service quality and user evaluation factors based on DeLone & McLean IS Success Model. User evaluation factors have an influence on net benefit. D&M IS model mainly proved inner organization impact. The research collected experienced car sharing service, we analyzed the 224 respondents. The result of the hypothesis follows. The scarcity of time is negatively related to perceived social support and app trust. Provisional coupon is positively related to perceived social support and app trust. But, scarcity of quantity is not related to user evaluation factors. Most of the system qualities are related to app trust, however, privacy concern isn't related to app trust. the paper's demographic characteristic is lack of experience frequency. User evaluation factors that are perceived social support and app trust are positively related to user satisfaction and WoM intention. User satisfaction is individual impact and WoM intention is organization impact. Two factors are the net benefit in car sharing service. The area of sharing economy should more study about correlation among experimental various factors. Thus, the paper has different significant from antecedent research. because of trying to experimental analysis.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.355-363
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• 2018

Found pesticide-contaminated eggs in 2017, the situation became a hot issue in many countries in the world as well as Korea. In the context of the pesticide-contaminated egg, this study explored that preventive behavioral intention would be predicted by perceived susceptibility and severity from health belief model, trust in the government and evaluation of information from the government, and subjective knowledge. We found that preventive behavioral intention was explained by perceived severity (${\beta}=.262$, t=3.531, p<0.001), trust in the government (${\beta}=.25$, t=3.281, p<0.001), and evaluation of the information from the government (${\beta}=.226$, t=2.936, p<0.01) through stepwise multiple linear regression analysis. The findings imply the government would administer policy in terms of credibility, accuracy, and consistency for decreasing the public's sense of unease and panic when a similar incident occurs.

• Hwankyungkyoyuk
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• v.15 no.1
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• pp.83-100
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• 2002

This study introduced various theories and related studies on the evaluation of informal environmental education programs and suggested an evaluation procedure for them. The case study on the procedure and the result of Non-indigenous, Invasive Species Management/Education program evaluation was provided, which was conducted by Cornell University in cooperation with Cornell Cooperative Extension, The Nature Conservancy, and Finger Lake Land Trust. The procedure model that was used in this study was based on Herman et al. (1987) and slightly modified for the environmental education program evaluation. The procedure and results indicated that the implementation of NIS management/education program properly accomplished it's intended goal and objectives. This study also specifically described its implications for the evaluation of environmental education programs in informal settings.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.205-219
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• 2021

The present study identified determinants to user acceptance of artificial intelligence(AI)-based news anchor. Our conceptual model included three constructs of ability, benevolence, and integrity to determine whether these three constructs are predictive of trust perceived from AI news anchor. This work further examined the influences of social presence, anthropomorphism, perceived usefulness, understanding as well as trust as immediate determinants to user acceptance. The conceptual model was validated on survey data collected from 513 respondents. A series of scale refinement process was conducted by the examination of data normality, common method bias, structure of latent variables as well as internal consistency. In addition, a confirmatory factor analysis was performed to assess the extent to which the sample data collected from survey study measures the constructs adequately. The results from the analysis of structural equation model indicated that, (1) two constructs of ability and integrity were found to be significantly predictive of perceived trust, and (2) anthropomorphism, perceived usefulness, and trust emerged as significant and positive predictors of user acceptance of AI-based news anchor.