RSS
计算机科学
差别隐私
全球导航卫星系统应用
基于位置的服务
计算机安全
代表(政治)
计算机网络
全球定位系统
数据挖掘
电信
万维网
政治学
政治
法学
作者
Amir Fathalizadeh,Vahideh Moghtadaiee,Mina Alishahi
出处
期刊:IEEE Transactions on Emerging Topics in Computing
[Institute of Electrical and Electronics Engineers]
日期:2024-01-01
卷期号:12 (1): 293-306
被引量:2
标识
DOI:10.1109/tetc.2023.3242166
摘要
Due to the extensive applicability of Location-Based Services (LBSs) and the Global Navigation Satellite System (GNSS) failure in indoor environments, indoor positioning systems have been widely implemented. Location fingerprinting, in particular, collects the Received Signal Strength (RSS) from users' devices, allowing Location Service Providers (LSPs) to precisely identify their locations. Therefore, LSPs and potential attackers have implicit access to this sensitive data, violating users' privacy. This issue has been addressed in outdoor environments by introducing Geo-indistinguishability (GeoInd), an alternative representation of Differential Privacy (DP). In indoor environments, however, the user lacks their coordinates, posing a new difficulty. This paper presents a novel framework for implementing GeoInd for indoor environments. The proposed framework introduces two distance calculation and RSS generation methods based solely on RSS values. Moreover, involving other participants or trusted third parties is not necessary to protect privacy, regardless of the attackers' prior knowledge. The proposed framework is evaluated in a simulated environment and two experimental settings. The results validate the proposed framework's efficiency, effectiveness, and applicability in indoor environments under the GeoInd setting.
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