Toward a Trust Evaluation Mechanism in the Social Internet of Things

Truong, Nguyen Binh; Lee, Hyun–Woo; Askwith, Bob; Lee, Gyu Myoung

doi:10.3390/s17061346

Cited by 106 publications

(82 citation statements)

References 61 publications

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“…Beyond that, we have incorporated a trust platform for strengthening and empowering the trust-based IoV by utilizing the REK trust model in [4], [5]. The trust evaluation system in the IoV leverages a Blockchain-based feedback mechanism for gathering opinions about entities involved in IoV transactions that are already recorded in Blockchain.…”

Section: Discussionmentioning

confidence: 99%

“…The proposed IoV architecture is aligned with the ITU-T IoT and Smart Cities & Communities reference model 4 . The additional components namely Trust, Value Evaluation, Asset Registration, and Blockchain-based Value Exchange layer are introduced and aligned with the IoT components in the architecture (Fig.…”

Section: B Iov Reference Architecture Aligned With Iotmentioning

confidence: 99%

“…In this regard, a trust evaluation platform is critical for empowering and strengthening the IoV. In this article, we firstly present the concept of the IoV along with a conceptual system model; then focus on developing a trust platform for the IoV leveraging the Reputation-Experience-Knowledge (REK) trust model [4], [5]. Here, the two trust indicators (TIs) called Experience and Reputation are calculated based on the information in transactions (i.e., interactions) between entities in the IoV that are recorded in Blockchain.…”

Section: Introductionmentioning

confidence: 99%

“…• Propose a trust platform based on Experience and Reputation concepts utilizing the REK trust model [4] for evaluating trust between two entities in the IoV. The rest of the paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

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Strengthening the Blockchain-Based Internet of Value with Trust

Truong

Zhou

et al. 2018

2018 IEEE International Conference on Communications (ICC)

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Abstract-In recent years, Blockchain has been expected to create a secure mechanism for exchanging not only for cryptocurrency but also for other types of assets without the need for a powerful and trusted third-party. This could enable a new era of the Internet usage called the Internet of Value (IoV) in which any types of assets such as intellectual and digital properties, equity and wealth can be digitized and transferred in an automated, secure, and convenient manner. In the IoV, Blockchain is used to guarantee the immutability of transactions meaning that it is impractical to retract once a transaction is confirmed. Therefore, to strengthen the IoV, before making any transactions it is crucial to evaluate trust between participants for reducing the risk of dealing with malicious peers. In this article, we clarify the concept of IoV and propose a trust-based IoV model including a system architecture, components and features. Then, we present a trust platform in the IoV considering two concepts, Experience and Reputation, originated from Social Networks for evaluating trust between two any peers in the IoV. The Experience and Reputation are characterized and calculated using mathematical models with analysis and simulation in the IoV environment. We believe this paper consolidates the understandings about IoV technologies and demonstrates how trust is evaluated and used to strengthen the IoV. It also opens important research directions on both IoV and trust in the future.

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Section: Discussionmentioning

confidence: 99%

Section: B Iov Reference Architecture Aligned With Iotmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Strengthening the Blockchain-Based Internet of Value with Trust

Truong

Zhou

et al. 2018

2018 IEEE International Conference on Communications (ICC)

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“…For example, preferences could be weights of TAs indicating the importance of the TAs when deriving the trustworthiness. Detailed explanation and examples of trust and TAs can be found in [13].…”

Section: A Trust Concept and Definitionmentioning

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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T‐D2D: A trust model for service offloading in device‐to‐device communication

Movahedi

Hosseini

2019

Trans Emerging Tel Tech

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With the advances in pervasive computing, Internet of things (IoT) has gained considerable attention from both research and industrial communities. While IoT devices are able to provide computational services to other devices via device‐to‐device (D2D) communications, they are not guaranteed to be honest and collaborative. In such a context, the trust model can help to detect malicious service providers. However, malicious nodes may perform trust‐distortion attacks to mislead the trust model. They may perform on‐off attacks to remain undetected or bad‐mouth about others to make it difficult to infer if a contradictory recommendation comes from the on‐off nature of the evaluated node or dishonesty of the recommender. To address these issues, we propose T‐D2D, a lightweight trust model capable to face simultaneous trust‐distortion attacks. T‐D2D evaluates a node's nature using both short‐term and long‐term evaluation intervals to detect different types of on‐off attacks. Moreover, it keeps track of marginal misbehaving over several successive intervals to recognize the nature of suspicious on‐off nodes with light misbehaving attitude. To face bad‐mouthing attackers, T‐D2D limits its dependence on recommendations to when the direct trust is not decisive. Moreover, it evaluates the honesty of a recommender based on the correctness of its recommendations over time. Simulation results prove that T‐D2D exhibits significantly better performance than other counterparts in terms of trust level, correctness of calculated trust, percentage of selected malicious providers, total wasted execution time, and energy consumption in presence of simultaneous trust‐distortion attacks.

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Toward a Trust Evaluation Mechanism in the Social Internet of Things

Cited by 106 publications

References 61 publications

Strengthening the Blockchain-Based Internet of Value with Trust

Strengthening the Blockchain-Based Internet of Value with Trust

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

T‐D2D: A trust model for service offloading in device‐to‐device communication

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