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arXiv 1909.05028cs.CRcs.DB
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基于区块链的用户可控隐私保护用户画像数据共享

User-Controlled Privacy-Preserving User Profile Data Sharing based on Blockchain

Ajay Kumar Shrestha, Ralph Deters, Julita Vassileva

AI总结:

针对数据共享中的隐私与中心化问题,提出基于MultiChain区块链的去中心化用户画像共享架构,赋予用户数据控制权,并通过延迟和内存评估验证了性能。

摘要:

近几十年来技术的巨大进步使得许多企业在做出智能决策时能够更好地协作。使用信息技术工具从各种自主数据源获取人们日常生活中的数据,允许不受限制地访问用户数据,已成为一个重要的实际问题,并引发了法律层面的影响。各种创新的数据共享和管理模型存在隐私和中心化问题。为缓解这些限制,我们在用户建模中引入了区块链。本文在旅游领域构建了一个基于MultiChain区块链的去中心化数据共享架构,该架构同样适用于教育、健康和体育等其他类似领域。旅游行业中的企业,包括旅行社、旅游代理机构、酒店、度假村和购物中心,连接到MultiChain,并通过MultiChain中的流(stream)共享其用户画像数据。本文以一个虚构酒店的酒店预订服务作为企业节点之一,该服务在收集用户画像数据时进行适当验证,并允许用户决定共享哪些数据,从而确保用户对其数据的控制权和隐私保护。仓库中的数据在通过区块链中的流共享时被转换为开放数据格式,以便其他企业节点在接收数据后能够轻松转换并存储到各自的仓库中。本文通过测量延迟和内存消耗,在三种主要影响用户体验的测试场景下评估了模型性能。在所有情况下,节点均快速响应。

英文摘要:

The tremendous technological advancement in the last few decades has brought many enterprises to collaborate in a better way while making intelligent decisions. The use of Information Technology tools in obtaining data of people's everyday life from various autonomous data sources allowing unrestricted access to user data has emerged as an important practical issue and has given rise to legal implications. Various innovative models for data sharing and management have privacy and centrality issues. To alleviate these limitations, we have incorporated blockchain in user modeling. In this paper, we constructed a decentralized data sharing architecture with MultiChain blockchain in the travel domain, which is also applicable to other similar domains including education, health, and sports. Businesses that operate in the tourism industries including travel and tour agencies, hotels and resorts, shopping malls are connected to the MultiChain and they share their user profile data via stream in the MultiChain. The paper presents the hotel booking service for an imaginary hotel as one of the enterprise nodes, which collects user profile data with proper validation and will allow users to decide which of their data to be shared thus ensuring user control over their data and the preservation of privacy. The data from the repository is converted into an open data format while sharing via stream in the blockchain so that other enterprise nodes, after receiving the data, can easily convert them and store into their own repositories. The paper presents an evaluation of the performance of the model by measuring the latency and memory consumption with three test scenarios that mostly affect the user experience. The node responded quickly in all of these cases.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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