We Know What You Did Last Session: Policy-Based Query Classification for Data-Privacy Compliance With the DataEconomist

Peter K. Schwab, Maximilian S. Langohr, K. Meyer-Wegener
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引用次数: 2

Abstract

This paper explains the demonstration of the DataEconomist, a framework for policy-based SQL query classification according to data-privacy directives. Our framework automatically derives query meta-information based on query-log analysis and provides user-friendly, graphical interfaces for browsing and filtering queries based on this meta-information. We aim to complement existing data-privacy approaches and enable privacy officers to define domain-specific compliance policy rules based on the graphical filter mechanisms. Policies automatically classify queries as compliant or non-compliant regarding their processing of personal data. During our demonstration, conference attendees assess our system in several scenarios. They filter queries based on various query meta-information, learn how to define compliance policies for automatic query classification without profound technical knowledge, and test this classification by formulating non-compliant queries.
我们知道你上节课做了什么:数据经济学家基于策略的数据隐私遵从查询分类
本文解释了DataEconomist的演示,DataEconomist是一个根据数据隐私指令进行基于策略的SQL查询分类的框架。我们的框架基于查询日志分析自动派生查询元信息,并提供用户友好的图形界面,用于浏览和过滤基于该元信息的查询。我们的目标是补充现有的数据隐私方法,并使隐私官员能够基于图形过滤机制定义特定于领域的合规策略规则。策略根据个人数据的处理自动将查询分类为符合或不符合。在我们的演示过程中,与会者在几个场景中评估我们的系统。他们根据各种查询元信息过滤查询,学习如何在没有深厚技术知识的情况下为自动查询分类定义遵从性策略,并通过制定不遵从的查询来测试这种分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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