Towards a Decentralized Data Marketplace for Smart Cities

Ramachandran, Gowri Sankar; Radhakrishnan, Rahul; Krishnamachari, Bhaskar

doi:10.1109/isc2.2018.8656952

Cited by 111 publications

(76 citation statements)

References 12 publications

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“…Taking this idea further, academic research has begun to explore the possibility of decentralized marketplaces for data sharing using blockchain technology 22 that provides a high degree of scalability (Ramachandran et al 2018). As in the case of data trusts, operational questions emerge about the design and management of such data marketplaces, such as how can sellers price their data to maximize their economic benefit?…”

Section: Challenge 2: How Do We Develop Effective Datamentioning

confidence: 99%

Smart City Operations: Modeling Challenges and Opportunities

Hasija

Shen

Teo

2020

M&SOM

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We discuss some recent developments in smart city initiatives across the world to motivate the opportunities and challenges that such initiatives pose, and we categorize them into three themes: data access and collection, end-user utility, and economic viability of different solutions. We recognize that the academic literature that can help in addressing some of these challenges is at its nascent state and provide guidelines on how manufacturing and service operations management scholars can contribute to the global smart city movement.

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Section: Challenge 2: How Do We Develop Effective Datamentioning

confidence: 99%

Smart City Operations: Modeling Challenges and Opportunities

Hasija

Shen

Teo

2020

M&SOM

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“…To enforce the fairness, bitcoin scripting language is used here. In addition to the above, few other solutions are also available to make trusted payment system (Choudhuri et al, 2017;Dziembowski et al, 2018;Ramachandran et al, 2018) A comparative summary can be found in perspective of comparing existed papers with our proposed approach, is depicted in Table 1 where BC stands for Blockchain.…”

Section: Related Workmentioning

confidence: 99%

Traceability and ownership claim of data on big data marketplace using blockchain technology

Sahoo

Halder

2020

Journal of Information and Telecommunication

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In the era of big data, modern data marketplaces have received much attention as they allow not only large enterprises but also individuals to trade their data. This new paradigm makes the data prone to various threats, including piracy, illegal reselling, tampering, illegal redistribution, ownership claiming, forgery, theft, misappropriation, etc. Although digital watermarking is a promising technique to address the above-mentioned challenges, the existing solutions in the literature are deemed to be incompetent in big data scenarios due to the following factors: V's of big data, involvement of multiple owners, incremental watermarking, large cover-size and limited watermark-capacity, non-interference, etc. In this paper, we propose a novel big data watermarking technique that leverages the power of blockchain technology and provides a transparent immutable audit trail for data movement in big data monetizing scenarios. In this context, we address all the crucial challenges mentioned above. We present a prototype implementation of the system as a proof of concept using Solidity on Ethereum platform, and we perform experimental evaluation to demonstrate its feasibility and effectiveness in terms of execution gas costs. To the best of our knowledge, this is the first proposal which deals with watermarking issues in the context of big data.

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“…A different approach is taken by [10] to establish a decentralised marketplace for IoT data based on blockchain technology. The proposed marketplace architecture uses simple contracts to simplify the trading of IoT data among participants.…”

Section: A Iot Marketplace Architecturesmentioning

confidence: 99%

AMACoT: A Marketplace Architecture for Trading Cloud of Things Resources

Alrawahi

Lee

Lotfi

2020

IEEE Internet Things J.

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Cloud of Things (CoT) is increasingly viewed as a paradigm that can satisfy the diverse requirements of emerging IoT applications. The potential of CoT is not yet realised due to challenges in sharing and reusing IoT physical resources across multiple applications. Existing approaches provide smallscale and hardware-dependent shared access to IoT resources. This paper considers using market mechanisms to commoditise CoT resources as the approach to enable shared access to CoT resources and to improve their reusability. In order to achieve this, the requirements for trading CoT resources are discussed to conceptualise the proposed approach. A generic description model for CoT resource is introduced to quantify the value of CoT resources. In this paper, a marketplace architecture for trading CoT resources referred to as AMACoT is proposed. By formulating the trading of CoT resources as an optimisation problem, the proposed approach is experimentally validated. The evaluation measures the system performance and verifies the optimisation problem using three evolutionary algorithms. The evaluation of the optimisation algorithms demonstrates the optimality of trading CoT resources solutions in terms of resource cost, resource utilisation, provider lock-in and provider profit.

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Towards a Decentralized Data Marketplace for Smart Cities

Cited by 111 publications

References 12 publications

Smart City Operations: Modeling Challenges and Opportunities

Smart City Operations: Modeling Challenges and Opportunities

Traceability and ownership claim of data on big data marketplace using blockchain technology

AMACoT: A Marketplace Architecture for Trading Cloud of Things Resources

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