A Robust Reputation-Based Computational Model for Trust Establishment in Pervasive Systems

Kraounakis, Stylianos; Demetropoulos, Ioannis N.; Michalas, Angelos; Obaidat, Mohammad S.; Sarigiannidis, Panagiotis; Louta, Malamati

doi:10.1109/jsyst.2014.2345912

Cited by 27 publications

(13 citation statements)

References 36 publications

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“…Most practically applied methods of trust computation are based on simple operations such as average or sum [7,26]. This kind of method is widely used in the process of evaluation of e-commerce websites.…”

Section: Trust-related Computation Methods In E-commercementioning

confidence: 99%

“…In [25], the authors introduced an adaptive and dynamic reputation-based trust model to evaluate trustworthiness, based on community feedback about participants' past behavior. The paper [26] proposed a computational model for trust establishment based on a reputation mechanism, which incorporates direct experiences and information disseminated from past experiences in pervasive systems. The paper [27] proposed an adaptive and attribute-based trust model for service-level agreement guarantees in cloud computing.…”

Section: Trust-related Research In Pervasive Networkmentioning

confidence: 99%

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Closed-Loop Feedback Computation Model of Dynamical Reputation Based on the Local Trust Evaluation in Business-to-Consumer E-Commerce

Tian

Han²,

Liu³

2016

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Trust and reputation are important factors that influence the success of both traditional transactions in physical social networks and modern e-commerce in virtual Internet environments. It is difficult to define the concept of trust and quantify it because trust has both subjective and objective characteristics at the same time. A well-reported issue with reputation management system in business-to-consumer (BtoC) e-commerce is the "all good reputation" problem. In order to deal with the confusion, a new computational model of reputation is proposed in this paper. The ratings of each customer are set as basic trust score events. In addition, the time series of massive ratings are aggregated to formulate the sellers' local temporal trust scores by Beta distribution. A logical model of trust and reputation is established based on the analysis of the dynamical relationship between trust and reputation. As for single goods with repeat transactions, an iterative mathematical model of trust and reputation is established with a closed-loop feedback mechanism. Numerical experiments on repeated transactions recorded over a period of 24 months are performed. The experimental results show that the proposed method plays guiding roles for both theoretical research into trust and reputation and the practical design of reputation systems in BtoC e-commerce.

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Section: Trust-related Computation Methods In E-commercementioning

confidence: 99%

Section: Trust-related Research In Pervasive Networkmentioning

confidence: 99%

Closed-Loop Feedback Computation Model of Dynamical Reputation Based on the Local Trust Evaluation in Business-to-Consumer E-Commerce

Tian

Han²,

Liu³

2016

Information

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“…In the article by Wu et al (2013), the authors developed a protected mobile cloud based medicinal services system using wireless body are networks. In the article by Kraounakis et al (2015), the authors provided AC mechanism for reliable and extensible elegant data in cloud computing.…”

Section: Reputationmentioning

confidence: 99%

A Medical Big Data Analysis Algorithm Based on Access Control System

Chen

Luo

Diao

et al. 2018

IJRIS

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In the latest progress in healthcare, the continuous creation of digital medical information is an important basis for the analysis of large medical data. This paper proposes a medical big data analysis algorithm based on access control system that provides reliable security protection to big medical data (BMD) by considering various quantitative parameters. The proposed algorithm calculates the reputation values of different users, which correspond to each parameter. Based on the calculated reputation values, the proposed algorithm grants access authority to each user. Simulation results are performed to verify the effectiveness of security system solving protection of the sensitive personal information of patients.

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“…This approach can be found in several reputation-based mechanisms in Wireless Sensor Networks (WSNs), for instance, package transmissions between two nodes are considered as interactions; and if a transmission is successful, then the outcome is 1, and vice versa [14]. Another example is file transfer transactions as interactions in peer-to-peer networks (P2P) [15]. If a file is successfully transferred, then the outcome is 1; otherwise it is 0.…”

Section: A Experience Concept Under the Perspective Of Trustmentioning

confidence: 99%

From Personal Experience to Global Reputation for Trust Evaluation in the Social Internet of Things

Truong

Zhou

et al. 2017

GLOBECOM 2017 - 2017 IEEE Global Communications Conference

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Abstract-Trust has been exploring in the era of Internet of Things (IoT) as an extension of the traditional triad of security, privacy and reliability for offering secure, reliable and seamless communications and services. It plays a crucial role in supporting IoT entities to reduce possible risks before making decisions. However, despite a large amount of trust-related research in IoT, a prevailing trust evaluation model has been still debatable and under development. In this article, we clarify the concept of trust in the Social Internet of Things (SIoT) ecosystems and propose a comprehensive trust model called REK that incorporates third-party opinions, experience and direct observation as the three Trust Indicators. As the convergence of the IoT and social network, the SIoT enables any types of entities (physical devices, smart agents and services) to establish their own social networks based on their owners relationships. We leverage this characteristic for inaugurating Experience and Reputation, which are originally two concepts from social networks, as the two paramount indicators for trust. The Experience and Reputation are characterized and modeled using mathematical analysis along with simulation experiments and analytical results. We believe our contributions offer better understandings of trust models and evaluation mechanisms in the SIoT environment, particularly the two Experience and Reputation models. This paper also opens important trust-related research directions in near future.

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A Robust Reputation-Based Computational Model for Trust Establishment in Pervasive Systems

Cited by 27 publications

References 36 publications

Closed-Loop Feedback Computation Model of Dynamical Reputation Based on the Local Trust Evaluation in Business-to-Consumer E-Commerce

Closed-Loop Feedback Computation Model of Dynamical Reputation Based on the Local Trust Evaluation in Business-to-Consumer E-Commerce

A Medical Big Data Analysis Algorithm Based on Access Control System

From Personal Experience to Global Reputation for Trust Evaluation in the Social Internet of Things

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