Privacy Mining from IoT-Based Smart Homes

被引：4
作者：
Lee, Ming-Chang [1 ]
Lin, Jia-Chun [2 ]
Owe, Olaf [2 ]
机构：
[1] Simula Res Lab, Dept Commun Syst, Martin Linges Vei 25, N-1364 Fornebu, Norway
[2] Univ Oslo, Dept Informat, Gaustadalleen 23 B, N-0373 Oslo, Norway
来源：
ADVANCES ON BROADBAND AND WIRELESS COMPUTING, COMMUNICATION AND APPLICATIONS, BWCCA-2018 | 2019年 / 25卷
关键词：
INTERNET; SECURITY;
D O I：
10.1007/978-3-030-02613-4_27
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Recently, a wide range of smart devices are deployed in a variety of environments to improve the quality of human life. One of the important IoT-based applications is smart homes for healthcare, especially for elders. IoTbased smart homes enable elders' health to be properly monitored and taken care of. However, elders' privacy might be disclosed from smart homes due to non-fully protected network communication or other reasons. To demonstrate how serious this issue is, we introduce in this paper a Privacy Mining Approach (PMA) to mine privacy from smart homes by conducting a series of deductions and analyses on sensor datasets generated by smart homes. The experimental results demonstrate that PMA is able to deduce a global sensor topology for a smart home and disclose elders' privacy in terms of their house layouts.
引用
收藏
页码：304 / 315
页数：12
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