在语音助理系统中利用点对点通信来查询隐私保护
1Department of Computer Science, University of Massachusetts Boston, Boston, MA, USA.
概括
这项研究引入了语音助理系统 (VAS) 匿名化器,通过混合查询和防止分析来保护用户隐私. 该系统通过模式匹配和实时查询评估来确保匿名性.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 人与计算机的交互
背景情况:
- 语音助理系统 (VAS) 收集用户数据,导致持续的分析和隐私问题.
- 当前的VAS架构将语音查询与用户帐户联系起来,从而损害了源代码的匿名性.
- 在日常生活中越来越多的VAS需要强大的隐私保护解决方案.
研究的目的:
- 提出一种新的语音助理系统 (VAS) 匿名器,旨在增强源匿名性.
- 开发一个系统,有效地混合多个VAS用户的查询,掩盖个别查询模式.
- 实施实时匿名性评估机制以减轻隐私风险.
主要方法:
- 一个模式匹配方案使VAS设备能够发现同行中继,而不会显示查询模式.
- 匿名性评估模块实时评估单个查询,减少违规模式的风险.
- 一个协调的查询上传过程确保服务提供商不能将查询与个人用户联系起来.
主要成果:
- 实验证明了模式匹配方案在计算和通信开销方面的效率.
- 匿名性评估模块有效地保护了查询请求者和中继者的隐私.
- 拟议的VAS匿名化器成功地匿名化了查询源,防止了用户配置文件.
结论:
- 开发的VAS匿名器为增强语音助理系统用户隐私提供了有效的解决方案.
- 该系统的设计平衡了匿名性要求和高效的系统运行.
- 进一步的研究可以探索互联智能设备的先进匿名化技术.
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