AC2M: An Automated Consent Management Model for Blockchain Financial Services Platform

Xu, Zhiyu; Jiao, Tengyun; Wang, Ziyuan; Wen, Sheng; Chen, Shiping; Xiang, Yang

doi:10.1109/smds53860.2021.00015

Cited by 11 publications

(3 citation statements)

References 9 publications

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“…Xu et al [17] proposed a blockchain-based consent management model for financial service platforms. The authors utilized a consortium blockchain with a proof of authority mechanism to check both the informed consent of users and the certificates of regulators.…”

Section: B Consent-based Sharingmentioning

confidence: 99%

“…In the literature, apart from research on privacy-preserving [12]- [16], consent-based approaches have mainly focused on obtaining consent from the data providers and/or managing data access mechanisms according to the obtained consent [17]- [21], and there are only few studies [22], [23] that have tackled consent-based personal data processing and sharing. However, there are many cases [24]- [26] showed that violations of consent occur when companies utilize personal data.…”

mentioning

confidence: 99%

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A Consent-Based Privacy-Compliant Personal Data-Sharing System

Park,

Oh,

Choi

2023

IEEE Access

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Personal data is becoming increasingly valuable in business, as the insights that can be obtained from data processing continue to improve. However, it also can cause adverse effects on individuals. To improve data quality while satisfying privacy compliance, companies now have focused on collecting informed consent from individuals to directly handle personal data without applying any privacy-preserving techniques. Even though the companies obtain consent to use personal data, to improve transparency and accountability to ensure that companies deal with personal data according to consent, it is necessary for a system to comply with privacy requirements. Therefore, this paper proposes a new consent-based privacy-compliant personal data-sharing system that considers personal data-sharing flows and requirements obtained from enterprises and privacy frameworks, respectively. By analyzing a general process and the roles of actors for data sharing in enterprise environments according to standard privacy frameworks, this paper has proposed system requirements, system architecture, and detailed procedure for a consent-based privacycompliant processing method that considers compliance checking as well as consent checking. To show the feasibility of the proposed system, this paper demonstrates a prototype and the performance analysis in the lab and real-world environments.

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Section: B Consent-based Sharingmentioning

confidence: 99%

mentioning

confidence: 99%

A Consent-Based Privacy-Compliant Personal Data-Sharing System

Park,

Oh,

Choi

2023

IEEE Access

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“…Data sovereignty mandates data providers to accommodate consent revocation from their end-users if requested. Nevertheless, revoking the data access in such Xu et al, 2021). Another mentioned antecedent is data provenance difficulties, referring to an inability to track the origin and altered data due to a unique property: data is a non-rivalrous good that can be duplicated inexpensively and utilized concurrently by others (Koutroumpis et al, 2020).…”

Section: Data Sovereignty Concerns In Data Marketplacesmentioning

confidence: 99%

Factors Shaping the Cashless Payment Ecosystem: Understanding the Role of Participating Actors

Khando¹,

Islam²,

Gao³

2022

35 Th Bled eConference Digital Restructuring and Human (Re)action

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Cashless payments have become increasingly popular around the world because of their numerous advantages. More so, the cashless payment adoption has been escalated during the Covid-19 pandemic. However, there is a lack of holistic studies on the adoption and contemporary practices of cashless payments. The purpose of this study is, therefore, to provide a comprehensive understanding by identifying the participating actors and their crucial role in the payment ecosystem. Thus, the paper aims to address two research questions: i) Who are the participating actors in the cashless payment ecosystem? and ii) What are the determinant factors for the actors to adopt the cashless payment ecosystem? Through scoping literature review of 63 articles published in the last seven years (2015-2021), six participating ecosystem actors are identified with their determinant factors. The study contributes towards addressing adoption issues and serves as a basis for future empirical investigation.

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Challenges and Opportunities of Distributed Ledger Technologies for Consent Management – A Review

Zhang

2024

Lecture Notes in Networks and Systems

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AC2M: An Automated Consent Management Model for Blockchain Financial Services Platform

Cited by 11 publications

References 9 publications

A Consent-Based Privacy-Compliant Personal Data-Sharing System

A Consent-Based Privacy-Compliant Personal Data-Sharing System

Factors Shaping the Cashless Payment Ecosystem: Understanding the Role of Participating Actors

Challenges and Opportunities of Distributed Ledger Technologies for Consent Management – A Review

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