GDPR Compliant Consent Driven Data Protection in Online Social Networks: A Blockchain-Based Approach

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI:10.1109/ICICT50521.2020.00054

J. Ahmed, Sule YAYILGAN YILDIRIM, Mariusz Nowostaki, Raghvendra Ramachandra, Ogerta Elezaj, Mohamad Abomohara

{"title":"GDPR Compliant Consent Driven Data Protection in Online Social Networks: A Blockchain-Based Approach","authors":"J. Ahmed, Sule YAYILGAN YILDIRIM, Mariusz Nowostaki, Raghvendra Ramachandra, Ogerta Elezaj, Mohamad Abomohara","doi":"10.1109/ICICT50521.2020.00054","DOIUrl":null,"url":null,"abstract":"The enforcement of the General Data Protection Regulation (GDPR) represents a great challenge for online social networks (OSNs). Several OSNs are making significant changes to their systems to achieve compliance with GDPR. OSNs are required to obtain meaningful consent from users to achieve GDPR compliance. GDPR recognizes user's consent as a legitimate ground for personal data processing in the context of online social networks. This article presents a comparative study about the criteria for valid consent under GDPR and existing consent seeking practices of OSNs. In order to simplify the comparative process, Facebook is taken as a case study for online social networks. In conclusion of the comparative study, we argue that existing consent mechanisms in OSNs are not GDPR compliant. To achieve GDPR compliance in online social networks, we advocate a blockchain-based approach for consent management. This paper paves the way for designing a blockchain-based GDPR compliant consent management model for personal data processing in online social networks.","PeriodicalId":445000,"journal":{"name":"2020 3rd International Conference on Information and Computer Technologies (ICICT)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 3rd International Conference on Information and Computer Technologies (ICICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICT50521.2020.00054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 12

Abstract

The enforcement of the General Data Protection Regulation (GDPR) represents a great challenge for online social networks (OSNs). Several OSNs are making significant changes to their systems to achieve compliance with GDPR. OSNs are required to obtain meaningful consent from users to achieve GDPR compliance. GDPR recognizes user's consent as a legitimate ground for personal data processing in the context of online social networks. This article presents a comparative study about the criteria for valid consent under GDPR and existing consent seeking practices of OSNs. In order to simplify the comparative process, Facebook is taken as a case study for online social networks. In conclusion of the comparative study, we argue that existing consent mechanisms in OSNs are not GDPR compliant. To achieve GDPR compliance in online social networks, we advocate a blockchain-based approach for consent management. This paper paves the way for designing a blockchain-based GDPR compliant consent management model for personal data processing in online social networks.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

在线社交网络中符合GDPR的同意驱动的数据保护:基于区块链的方法

通用数据保护条例(GDPR)的实施对在线社交网络(osn)提出了巨大的挑战。一些osn正在对其系统进行重大更改，以满足GDPR的要求。为了符合GDPR要求，osn需要获得用户的有意义的同意。GDPR承认用户同意是在线社交网络中处理个人数据的合法依据。本文对GDPR下的有效同意标准和现有的osn寻求同意的做法进行了比较研究。为了简化比较过程，将Facebook作为在线社交网络的案例研究。在比较研究的结论中，我们认为osn中现有的同意机制不符合GDPR。为了在在线社交网络中实现GDPR合规性，我们提倡基于区块链的同意管理方法。本文为设计基于区块链的GDPR合规同意管理模型铺平了道路，该模型适用于在线社交网络中的个人数据处理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

2020 3rd International Conference on Information and Computer Technologies (ICICT)

自引率

0.00%

发文量