Blockchain based trust management mechanism for IoT

Lahbib, Asma; Toumi, Khalifa; Laouiti, Anis; Laubé, Alexandre; Martin, Steven

doi:10.1109/wcnc.2019.8885994

Cited by 48 publications

(28 citation statements)

References 9 publications

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“…Fig. 23 confirms the trust resiliency of the proposed trust model in comparison to BlockTIoT [11], HierSysT [14], TrustChain [13], SybRet [12], and TArChain [15] under increasing malicious nodes population in the network. As a result, badmouthing attacks, where nodes try to downrate a good performing node, are almost mitigated by the proposed trust model.…”

Section: Experiments 3: Proposed Trust Model Vs Simple Trust Model -Bad-mouthing Attacksupporting

confidence: 58%

“…Similarly, the authors in [11] presented a blockchain-based trust management system to evaluate the trustworthiness of devices and to securely store and share trust information in the blockchain via transactions. The proposed system relies on a network model with different manufacturing zones containing physical resources such as IoT devices, an authenticator acting as authorization entity, a trust manager managing and evaluating the trustworthiness of the zone members, miners collecting trust information in a block, broadcasting them and verifying other blocks.…”

Section: B Review Of Blockchain-based Trust Approaches In Iotmentioning

confidence: 99%

“…Only the authors in [12] and [13] use smart contracts for checking the trust score respectively computing it. The computation and aggregation of the trust score are addressed only in [11,13,15] by using weighted average or machine learning techniques in order to get the final score.…”

Section: B Review Of Blockchain-based Trust Approaches In Iotmentioning

confidence: 99%

“…18). This subsection presents a comparative analysis of the proposed trust model against other relevant trust approaches which are theoretically evaluated in section 2: BlockTIoT [11], HierSysT [14], TrustChain [13], SybRet [12], and TArChain [15]. The comparison focuses on the performance of the different protocols under different attacks and increasing population of malicious nodes.…”

Section: Experiments 3: Proposed Trust Model Vs Simple Trust Model -Bad-mouthing Attackmentioning

confidence: 99%

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Blockchain and Trust for Secure, End-User-Based and Decentralized IoT Service Provision

et al. 2020

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Building trust relationships between different decentralized entities in the IoT ecosystem is essential. Hereof, the combination of blockchain technology and trust evaluation techniques is recently considered as an efficient measure. However, both technologies within the IoT are still facing some limitations which are addressed in this research. First, this publication reviews various blockchain-based trust approaches and depicts their strengths and limitations regarding their usage in decentralized IoT communities. Then, an optimized trust model with a multi-layer adaptive and trust-based weighting system is proposed. Additionally, different trust metric parameters and their mathematical models used for trust evaluation are presented. Moreover, this publication presents a novel approach for incentivization processes in the IoT marketplace using control loops and smart contracts. Thereby, participants are motivated to continuously improve their behavior. Finally, the proposed trust model is proved to be reliable. The experimental results conducted from different scenarios show that the presented approach provides more resiliency against various attacks than existing ones.

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Section: Experiments 3: Proposed Trust Model Vs Simple Trust Model -Bad-mouthing Attacksupporting

confidence: 58%

Section: B Review Of Blockchain-based Trust Approaches In Iotmentioning

confidence: 99%

Section: B Review Of Blockchain-based Trust Approaches In Iotmentioning

confidence: 99%

Section: Experiments 3: Proposed Trust Model Vs Simple Trust Model -Bad-mouthing Attackmentioning

confidence: 99%

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Blockchain and Trust for Secure, End-User-Based and Decentralized IoT Service Provision

et al. 2020

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“…This entity took in charge also the creation and the deployment of solidity smart contracts. In what concerns the trust module integrated within either the laptop machine or the RPi share resources, we have used the model presented and implemented in our previous work [23].…”

Section: A Work Environmentmentioning

confidence: 99%

DRMF: A Distributed Resource Management Framework for Industry 4.0 Environments

Lahbib

Toumi

Laouiti

et al. 2019

2019 IEEE 18th International Symposium on Network Computing and Applications (NCA)

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While smart factories are becoming widely recognized as a fundamental concept of Industry 4.0, their implementation has posed several challenges insofar that they generate, process, and exchange vast amounts of security critical and privacy sensitive data, which makes them attractive targets of attacks and unauthorized access. Security requirements in such scenario include integrity, confidentiality, traceability and notarization of exchanged data in the one hand plus access control, privacy and trust in the other one. In this context, we design a distributed resource management framework using the emerging smart contracts technology for Industry 4.0 applications and more specifically for smart factories environments. This last, named DRMF, utilizes three Ethereum smart contracts specifically a Governance Contract (GC), an Access Contract (AC) and a Lookup Contract (LC) that are respectively responsible for the registration of new joining entities as well as those requesting consensus partaking permissions, second the dynamic access authorization and third the mapping between the required services and contracts ensuring their management. Using the blockchain technology, this framework is expected to achieve distributed, flexible, verifiable and trustworthy access control in addition to a transparent, traceable and notarized resource usage and sharing. Results from a real implementation plus performance evaluation prove the proposed concept and demonstrate its feasibility.

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Secure Internet of Things network using light‐weighted trust and blockchain‐powered PoW framework

Vairagade

Hanumantha

2022

Concurrency and Computation

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Blockchain technology comprises security algorithms that work efficiently on battery powered devices. Low energy and delay indicate the effectiveness of any security mechanism. However, it is challenging for the algorithms to achieve low energy and delay because of various attacks. To identify and protect against various kinds of IoT attacks, a light-weighted trust, and blockchain-powered PoW framework are proposed in this article. A proof of work (PoW) consensus is utilized on the router side to validate the block before the blockchain accepts it. The flexibility of block design is the main benefit of PoW powered blockchain, so it can modify based on IoT applications.Moreover, trust is one of the major issues in IoT networks. Trust can be established among users during node processing and communication between nodes. This trust is significant for transferring the data from source to destination and the uncertainty of service availability in IoT applications. A trust evaluation between participating nodes and the blockchain mechanism are integrated into this work to cover authorization and authentication. The efficiency of the proposed trust model is evaluated in terms of trust evolution and trustworthy network and compared with the existing trust models. In the experimental analysis, the efficiency of the proposed blockchain-powered network is analyzed in terms of energy, delay and processing time. The experimental outcomes proved that the proposed lightweight trust and blockchain-powered PoW are more efficient than other approaches.

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Blockchain based trust management mechanism for IoT

Cited by 48 publications

References 9 publications

Blockchain and Trust for Secure, End-User-Based and Decentralized IoT Service Provision

Blockchain and Trust for Secure, End-User-Based and Decentralized IoT Service Provision

DRMF: A Distributed Resource Management Framework for Industry 4.0 Environments

Secure Internet of Things network using light‐weighted trust and blockchain‐powered PoW framework

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