Towards decentralized data storage in general cloud platform for meta-products

Shrestha, Ajay Kumar; Vassileva, Julita

doi:10.1145/3010089.3016029

Cited by 19 publications

(13 citation statements)

References 9 publications

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“…Blockchain is a data structure used to create a public or private distributed digital transaction ledger which, instead of resting with a single provider, is shared among a distributed network of computers. Distributed ledgers can be used, for example, to store critical assets in the supply chain to track their ownership and changes in state (Shrestha and Vassileva, 2016). The data is stored in a distributed and redundant fashion in the blockchain, and each node verifies each transaction.…”

Section: Blockchainmentioning

confidence: 99%

“…The key idea is that there is no centralized authority to determine what is true or what is false; instead, multiple distributed parties come to a consensus that is entered into the ledger and after that can be accessed by anyone (Shrestha and Vassileva, 2016). Computationally, it is impracticable for anyone (or less than a majority consensus) to go back and alter the history because the blockchain represents a chronological chain of events.…”

Section: Blockchainmentioning

confidence: 99%

“…In recent years, there has been a rapid advancement in technological innovation and related research on collaborative approaches for sharing users' data among enterprises (Shrestha and Vassileva, 2016). Research-backed data sharing practices are much needed to strike a balance between user privacy, enhanced user experience and profit for businesses (Tenopir et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…However, there are problems associated with the security, privacy and user control of sharing user data. Security of sharing has been addressed by standard security techniques as well as experimental approaches, for example, carrying out all the communication without trusting anybody and possibly replacing the centralized controlling authority (Shrestha and Vassileva, 2016). Various advanced technologies have been deployed as computational backbones to collect and share user data including cloud computing services, RFID (Radio-frequency identification), as well as various security technologies to protect the collected user data from hackers (Shrestha, 2014).…”

Section: Introductionmentioning

confidence: 99%

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A Blockchain Platform for User Data Sharing Ensuring User Control and Incentives

2020

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We propose a new platform for user modeling with blockchains that allows users to share data without losing control and ownership of it and applied it to the domain of travel booking. Our new platform provides solution to three important problems: ensuring privacy and user control, and incentives for sharing. It tracks who shared what, with whom, when, by what means and for what purposes in a verifiable fashion. The paper presents a case study of applying the framework for a hotel reservation system as one of the enterprise nodes of Multichain which collects users' profile data and allows users to receive rewards while sharing their data with other travel service providers according to their privacy preferences expressed in smart contracts. The user data from the repository is converted into an open data format and shared via stream in the blockchain so that other nodes can efficiently process and use the data. The smart contract verifies and executes the agreed terms of use of the data and transfers digital tokens as a reward to the user. The smart contract imposes double deposit collateral to ensure that all participants act honestly. The paper also presents a performance evaluation of the new platform by analyzing latency and memory consumption with selected three test-scenarios and measuring the transaction cost for smart contracts deployment. The results show that the node responded quickly in all our cases with a befitting transaction cost.

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Section: Blockchainmentioning

confidence: 99%

Section: Blockchainmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Blockchain Platform for User Data Sharing Ensuring User Control and Incentives

2020

Self Cite

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“…Computationally, it is impracticable for any corrupted node (unless the number of such nodes is higher majority consensus) to go back and alter the history. There is no single point of failure in blockchain because the redundancy of the system ensures many backups, and the lack of a central storage place ensures there is no one target for hackers [8]. Therefore, blockchain provides a new type of platform that is useful for sharing research data by providing solutions to the problems of privacy of user data and compliance to ethics standards and user consent agreements, as well as researcher control and incentives for sharing.…”

Section: Introductionmentioning

confidence: 99%

User Acceptance of Usable Blockchain-Based Research Data Sharing System: An Extended TAM-Based Study

Shrestha

Vassileva

2019

2019 First IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)

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Blockchain technology has evolved as a promising means to transform data management models in many domains including healthcare, agricultural research, tourism domains etc. In the research community, a usable blockchain-based system can allow users to create a proof of ownership and provenance of the research work, share research data without losing control and ownership of it, provide incentives for sharing and give users full transparency and control over who access their data, when and for what purpose. The initial adoption of such blockchain-based systems is necessary for continued use of the services, but their user acceptance behavioral model has not been well investigated in the literature. In this paper, we take the Technology Acceptance Model (TAM) as a foundation and extend the external constructs to uncover how the perceived ease of use, perceived usability, quality of the system and perceived enjoyment influence the intention to use the blockchain-based system. We based our study on user evaluation of a prototype of a blockchain-based research data sharing framework using a TAM validated questionnaire. Our results show that, overall, all the individual constructs of the behavior model significantly influence the intention to use the system while their collective effect is found to be insignificant. The quality of the system and the perceived enjoyment have stronger influence on the perceived usefulness. However, the effect of perceived ease of use on the perceived usefulness is not supported. Finally, we discuss the implications of our findings. Keywords-TAM, behavior model, blockchain, smart contract, data sharing, privacy, perceived ease of use, perceived usefulness, quality of system, perceived enjoyment, behavioral Intention

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Blockchain-Based Research Data Sharing Framework for Incentivizing the Data Owners

Shrestha

Vassileva

2018

Lecture Notes in Computer Science

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Towards decentralized data storage in general cloud platform for meta-products

Cited by 19 publications

References 9 publications

A Blockchain Platform for User Data Sharing Ensuring User Control and Incentives

A Blockchain Platform for User Data Sharing Ensuring User Control and Incentives

User Acceptance of Usable Blockchain-Based Research Data Sharing System: An Extended TAM-Based Study

Blockchain-Based Research Data Sharing Framework for Incentivizing the Data Owners

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