面向隐私感知系统的建模与分析框架

Pietro Colombo, E. Ferrari
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引用次数: 29

摘要

如今,几乎所有的软件应用程序都处理私人信息。然而,支持隐私感知系统的规范和实现的有效工具仍然缺失。这项工作为解决这一问题迈出了一步。在本文中,我们提出了MAPaS,一个基于模型的框架,用于隐私感知系统的建模和分析。MAPaS为隐私领域提供了一种建模语言和一组丰富的功能,允许用户在开发的早期阶段轻松地分析系统的隐私保护特征。在本文中,除了介绍MaPaS的主要模块外,我们还展示了它如何有效地帮助开发隐私感知系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a Modeling and Analysis Framework for Privacy-Aware Systems
Nowadays, almost any software application deals with private information. However, effective tools that support the specification and implementation of privacy-aware systems are still missing. This work makes a step to address this issue. In this paper we present MAPaS, a model based framework for the modeling and analysis of privacy-aware systems. MAPaS provides a modeling language for the privacy domain and a rich set of functionalities that allow users to easily analyze privacy-preserving characteristics of a system at the early stages of its development. In this paper, besides presenting the main modules of MaPaS, we show how it can effectively help in the development of privacy-aware systems.
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