分布式ai平台的GAL监控概念

Felix Büsching, Maximiliano Bottazzi, L. Wolf
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引用次数: 6

摘要

在当今的大多数医疗保健和AAL场景中,为了各种目的,不同的传感器记录了大量数据。根据定义,这些数据大多是个人数据,可以分配给某些人,这再次使阴暗的数据挖掘者、黑客甚至健康保险公司感兴趣。因此,这些数据需要特别注意隐私和安全性。另一方面,如果系统分布在更大的区域,则操作员必须远程访问这些系统。至少一个基本的系统监控应该是可能的,如果分布式系统失败,备份到远程位置是有益的。本文提出了如何在分布式安装的个人AAL平台中保护隐私和安全,同时提供远程备份和恢复功能以及远程系统监控的概念和解决方案。
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The GAL monitoring concept for distributed aal platforms
In most of today's healthcare and AAL scenarios a multitude of data is recorded by different sensors for various purposes. By definition, this data is mostly personal and can be assigned to certain persons, which again makes it interesting for shady data miners, hackers, or even health insurance companies. Thus, this data needs special care regarding privacy and security. On the other hand, if the systems are spread over a larger area, a remote access to such systems is essential for the operator. At least a basic system monitoring should be possible and backups to a distant location are beneficial if the distributed systems fail. In this paper we provide concepts and solutions how in distributed installations of personal AAL platforms privacy and security can be preserved, while remote backup and restore functionality and remote system monitoring can be provided.
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