• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

数据保护设计在智慧城市中的应用:一种同意和访问控制的建议。

Data Protection by Design in the Context of Smart Cities: A Consent and Access Control Proposal.

机构信息

CNR-ISTI, 56124 Pisa, Italy.

Engineering Ingegneria Informatica S.p.A., 90146 Palermo, Italy.

出版信息

Sensors (Basel). 2021 Oct 28;21(21):7154. doi: 10.3390/s21217154.

DOI:10.3390/s21217154
PMID:34770462
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8588184/
Abstract

The growing availability of mobile devices has lead to an arising development of smart cities services that share a huge amount of (personal) information and data. Without accurate and verified management, they could become severe back-doors for security and privacy. In this paper, we propose a smart city infrastructure able to integrate a distributed privacy-preserving identity management solution based on attribute-based credentials (p-ABC), a user-centric Consent Manager, and a GDPR-based Access Control mechanism so as to guarantee the enforcement of the GDPR's provisions. Thus, the infrastructure supports the definition of specific purpose, collection of data, regulation of access to personal data, and users' consents, while ensuring selective and minimal disclosure of personal information as well as user's unlinkability across service and identity providers. The proposal has been implemented, integrated, and evaluated in a fully-fledged environment consisting of MiMurcia, the Smart City project for the city of Murcia, CaPe, an industrial consent management system, and GENERAL_D, an academic GDPR-based access control system, showing the feasibility.

摘要

移动设备的日益普及促使智能城市服务蓬勃发展,这些服务共享大量(个人)信息和数据。如果没有准确和经过验证的管理,它们可能成为安全和隐私的严重后门。在本文中,我们提出了一种智能城市基础设施,能够集成基于属性证书的分布式隐私保护身份管理解决方案(p-ABC)、以用户为中心的同意管理器和基于 GDPR 的访问控制机制,以保证 GDPR 规定的执行。因此,该基础设施支持特定目的的定义、数据的收集、对个人数据的访问的规定以及用户的同意,同时确保个人信息的选择性和最小披露以及用户在服务和身份提供方之间的不可链接性。该提案已在由 Murcia 市的智能城市项目 MiMurcia、工业同意管理系统 CaPe 和基于学术 GDPR 的访问控制系统 GENERAL_D 组成的成熟环境中实现、集成和评估,展示了其可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/406614cf9832/sensors-21-07154-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/85afcacd3095/sensors-21-07154-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/d44f1ecbe6c3/sensors-21-07154-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/024c0ed04683/sensors-21-07154-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/cb6fb3604557/sensors-21-07154-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/d9e9817803b3/sensors-21-07154-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/5f5faaf63d79/sensors-21-07154-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/20bd37639f67/sensors-21-07154-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/2495a68390aa/sensors-21-07154-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/23b55305ac39/sensors-21-07154-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/775defa36579/sensors-21-07154-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/fbc49c642285/sensors-21-07154-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/406614cf9832/sensors-21-07154-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/85afcacd3095/sensors-21-07154-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/d44f1ecbe6c3/sensors-21-07154-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/024c0ed04683/sensors-21-07154-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/cb6fb3604557/sensors-21-07154-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/d9e9817803b3/sensors-21-07154-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/5f5faaf63d79/sensors-21-07154-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/20bd37639f67/sensors-21-07154-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/2495a68390aa/sensors-21-07154-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/23b55305ac39/sensors-21-07154-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/775defa36579/sensors-21-07154-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/fbc49c642285/sensors-21-07154-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/8588184/406614cf9832/sensors-21-07154-g012.jpg

相似文献

1
Data Protection by Design in the Context of Smart Cities: A Consent and Access Control Proposal.数据保护设计在智慧城市中的应用:一种同意和访问控制的建议。
Sensors (Basel). 2021 Oct 28;21(21):7154. doi: 10.3390/s21217154.
2
A Smart Contract-Based Dynamic Consent Management System for Personal Data Usage under GDPR.基于 GDPR 下的个人数据使用的智能合约式动态同意管理系统。
Sensors (Basel). 2021 Nov 30;21(23):7994. doi: 10.3390/s21237994.
3
Data Protection by Design Tool for Automated GDPR Compliance Verification Based on Semantically Modeled Informed Consent.基于语义建模的知情同意的自动化 GDPR 合规验证的数据保护设计工具。
Sensors (Basel). 2022 Apr 3;22(7):2763. doi: 10.3390/s22072763.
4
The OLYMPUS Architecture-Oblivious Identity Management for Private User-Friendly Services.OLYMPUS 体系结构——用于私人用户友好型服务的匿名身份管理。
Sensors (Basel). 2020 Feb 10;20(3):945. doi: 10.3390/s20030945.
5
Ethical Implications of User Perceptions of Wearable Devices.可穿戴设备用户感知的伦理问题
Sci Eng Ethics. 2018 Feb;24(1):1-28. doi: 10.1007/s11948-017-9872-8. Epub 2017 Feb 2.
6
An Efficient Framework for Securing the Smart City Communication Networks.一种用于保障智慧城市通信网络安全的高效框架。
Sensors (Basel). 2022 Apr 15;22(8):3053. doi: 10.3390/s22083053.
7
Privacy-preserving solution for vehicle parking services complying with EU legislation.符合欧盟法规的车辆停车服务隐私保护解决方案。
PeerJ Comput Sci. 2022 Dec 15;8:e1165. doi: 10.7717/peerj-cs.1165. eCollection 2022.
8
An enhanced mobile-healthcare emergency system based on extended chaotic maps.一种基于扩展混沌映射的增强型移动医疗应急系统。
J Med Syst. 2013 Oct;37(5):9973. doi: 10.1007/s10916-013-9973-0. Epub 2013 Sep 10.
9
Security, Privacy and Risks Within Smart Cities: Literature Review and Development of a Smart City Interaction Framework.智慧城市中的安全、隐私与风险:文献综述及智慧城市交互框架的发展
Inf Syst Front. 2022;24(2):393-414. doi: 10.1007/s10796-020-10044-1. Epub 2020 Jul 21.
10
The Integrated Holistic Security and Privacy Framework Deployed in CrowdHEALTH Project.在CrowdHEALTH项目中部署的综合整体安全与隐私框架。
Acta Inform Med. 2019 Dec;27(5):333-340. doi: 10.5455/aim.2019.27.333-340.

引用本文的文献

1
Data Protection by Design Tool for Automated GDPR Compliance Verification Based on Semantically Modeled Informed Consent.基于语义建模的知情同意的自动化 GDPR 合规验证的数据保护设计工具。
Sensors (Basel). 2022 Apr 3;22(7):2763. doi: 10.3390/s22072763.

本文引用的文献

1
IoTCrawler: Challenges and Solutions for Searching the Internet of Things.物联网爬虫:搜索物联网的挑战与解决方案
Sensors (Basel). 2021 Feb 24;21(5):1559. doi: 10.3390/s21051559.