论文标题
对上下文感知智能医疗保健的贡献：安全和隐私观点
Contributions to Context-Aware Smart Healthcare: A Security and Privacy Perspective
论文作者
论文摘要
从收集到分析的健康数据的管理，由于其高度机密的性质，出现了许多具有挑战性的问题。特别是，这项论文在Smart Health范式中造成了一些安全和隐私挑战。更具体地说，我们首先为具有智能健康方案的上下文感知环境开发一些贡献。我们对在这种环境中部署的基础传感器和网络的安全方面进行了广泛的分析，以用户为中心的新型隐私框架，用于分析无处不在的计算系统，以及对正确实施认知城市所面临的安全性和隐私挑战的完整分析。其次，我们为流程采矿做出了贡献，这是一个流行的分析领域，有助于分析组织内的业务流程。尽管它在医疗保健行业中很受欢迎，但我们解决了两个主要问题：医疗保健过程的复杂性和关于隐私方面的稀缺研究。关于第一个问题，我们提出了一种新颖的过程发现算法，它具有内置的启发式式，该算法简化了复杂的过程，并且在第二个方面，我们提出了两种新颖的隐私保护过程挖掘方法，这些方法在准确性和隐私之间实现了巨大的权衡。最后但并非最不重要的一点是，我们介绍了一些智能健康应用程序，即用于路线的上下文感知的推荐系统，一个支持医院环境中早期动员计划的平台以及面向健康的地理信息系统。本文的结果旨在帮助研究界增强未来智能环境的安全性以及公民对其个人和健康数据的隐私。
The management of health data, from their gathering to their analysis, arises a number of challenging issues due to their highly confidential nature. In particular, this dissertation contributes to several security and privacy challenges within the smart health paradigm. More concretely, we firstly develop some contributions to context-aware environments enabling smart health scenarios. We present an extensive analysis on the security aspects of the underlying sensors and networks deployed in such environments, a novel user-centred privacy framework for analysing ubiquitous computing systems, and a complete analysis on the security and privacy challenges that need to be faced to implement cognitive cities properly. Second, we contribute to process mining, a popular analytical field that helps analyse business processes within organisations. Despite its popularity within the healthcare industry, we address two major issues: the high complexity of healthcare processes and the scarce research on privacy aspects. Regarding the first issue, we present a novel process discovery algorithm with a built-in heuristic that simplifies complex processes and, regarding the second, we propose two novel privacy-preserving process mining methods, which achieve a remarkable trade-off between accuracy and privacy. Last but not least, we present some smart health applications, namely a context-aware recommender system for routes, a platform supporting early mobilization programmes in hospital settings, and a health-oriented geographic information system. The results of this dissertation are intended to help the research community to enhance the security of the intelligent environments of the future as well as the privacy of the citizens regarding their personal and health data.
