Privacy improvement model for biometric person recognition in ambient intelligence using perceptual hashing

Petra Grd, Igor Tomičić, M. Baca
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引用次数: 2

Abstract

In the past two decades ambient intelligence (AmI) has been a focus of research in different fields and from different points of view. It can be defined as an electronic environment consisting of devices capable of recognising people presence and responding in a certain way. The security and privacy in these kind of environments is still a challenge. With employing biometrics for person recognition in ambient intelligence, the devices could distinguish between different people in a non-intrusive way. With this, the privacy issue occurring in ambient intelligence is even more pronounced when combined with biometric recognition. This paper shows a privacy improvement model for biometric person recognition in ambient intelligence using perceptual hashing.
基于感知哈希的环境智能生物特征人识别隐私改进模型
近二十年来,环境智能(AmI)一直是不同领域、不同角度的研究热点。它可以被定义为一个由能够识别人的存在并以某种方式做出反应的设备组成的电子环境。在这种环境中,安全性和隐私性仍然是一个挑战。通过在环境智能中使用生物识别技术来识别人,这些设备可以以一种非侵入性的方式区分不同的人。因此,当与生物识别相结合时,环境智能中出现的隐私问题更加明显。提出了一种基于感知哈希的环境智能生物特征人识别隐私改进模型。
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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