Blockchain-based Smart-IoT Trust Zone Measurement Architecture

Ali, Jawad; Syed, Toqeer Ali; Alsaawy, Yazed; Khalid, Ahmad Shahrafidz; Musa, Shahrulniza

doi:10.1145/3312614.3312646

Cited by 27 publications

(16 citation statements)

References 19 publications

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“…Figs. [14][15][16][17] show that by increasing the percentage of malicious nodes, which send good trust scores for a bad service, the proposed trust protocol stays resilient with only a slight impact from wrong trust evaluation scores. In contrast, the simple trust model totally crashes (in terms of successfully being attacked) by increasing the trust score up to 100% of its starting trust score (also shown in Fig.…”

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

confidence: 99%

“…In addition, the authors in [16] propose to use a behavior monitor system in IoT-blockchain infrastructures that can store IoT device data and classifies normal or malicious behavior based on these data. Their system model considers different declared IoT-zones used for different IoT use-cases where each zone has its local blockchain network used to store all kind of communications between devices in the form of blockchain transactions.…”

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

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 Attackmentioning

confidence: 99%

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

confidence: 99%

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

et al. 2020

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“…Dabbagh et al 17 conducted a bibliometric analysis on the state‐of‐the‐art concerning the use of IoT with blockchain technology, where they state that the integration between the two has opened up new lines of research, especially in security and privacy. Several works 18‐21 proposed the blockchain as a secure execution environment to satisfy IoT devices security requirements and to prevent IoT attacks. Dorri et al 22,23 presented an IoT system applied to a smart home.…”

Section: Introductionmentioning

confidence: 99%

Ensuring transparency and traceability of food local products: A blockchain application to a Smart Tourism Region

Baralla

Pinna

Tonelli

et al. 2020

Concurrency and Computation

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Summary This article proposes a blockchain oriented platform to guarantee the origin and provenance of food items in a Smart Tourism Region context. Local food and beverage, in fact, can become a good combination to attract tourist and to promote the area provided that their provenance is clearly certified. We designed and developed a blockchain‐based system to manage an agri‐food supply chain for tracking food items. By using smart contracts the platform guarantees transparency, efficiency and trustworthiness. Our system is particularly suitable to manage cold chain since the system interfaces with IoT network devices providing detailed information about data monitoring food such as storage temperature, environment humidity, and GPS data. All involved actors can share data and information in a more efficient, transparent, and tamper proof way than traditional systems. The final consumer can access with transparency to all the agri‐food chain of the purchased product and verify provenance by retrieving all detailed information registered in the blockchain public ledger. The proposed system has been designed according to the ABCDE method, an agile development process recently conceived, to obtain a higher software quality to design a general blockchain system by means software engineering practices. A real case study applied to local products from Sardinia, Italy, is proposed at the end of the article.

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“…This IoT based RFID service has multiple benefits for users and government [9] but it has certain complexities that might hinder the proper implementation process. The RFID tag uses the E-Wallet payment method which requires users' personal information, bank account, debit/credit card details in order to complete the transaction.…”

Section: Introductionmentioning

confidence: 99%

Predicting IoT Service Adoption towards Smart Mobility in Malaysia: SEM-Neural Hybrid Pilot Study

Ahmed¹,

Hizam²,

Sentosa³

et al. 2020

IJACSA

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Smart city is synchronized with digital environment and its transportation system is vitalized with RFID sensors, Internet of Things (IoT) and Artificial Intelligence. However, without user's behavioral assessment of technology, the ultimate usefulness of smart mobility cannot be achieved. This paper aims to formulate the research framework for prediction of antecedents of smart mobility by using SEM-Neural hybrid approach towards preliminary data analysis. This research undertook smart mobility service adoption in Malaysia as study perspective and applied the Technology Acceptance Model (TAM) as theoretical basis. An extended TAM model was hypothesized with five external factors (digital dexterity, IoT service quality, intrusiveness concerns, social electronic word of mouth and subjective norm). The data was collected through a pilot survey in Klang Valley, Malaysia. Then responses were analyzed for reliability, validity and accuracy of model. Finally, the causal relationship was explained by Structural Equation Modeling (SEM) and Artificial Neural Networking (ANN). The paper will share better understanding of road technology acceptance to all stakeholders to refine, revise and update their policies. The proposed framework will suggest a broader approach to investigate individual-level technology acceptance.

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Blockchain-based Smart-IoT Trust Zone Measurement Architecture

Cited by 27 publications

References 19 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

Ensuring transparency and traceability of food local products: A blockchain application to a Smart Tourism Region

Predicting IoT Service Adoption towards Smart Mobility in Malaysia: SEM-Neural Hybrid Pilot Study

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