2020
DOI: 10.1109/tsc.2016.2646363
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A Privacy-Preserving Localization Service for Assisted Living Facilities

Abstract: In this paper, we propose a novel localization service to monitor the position of residents in assisted living facilities. The service supports a configurable balancing between precision and privacy, in such a way that the right of the residents to move freely in the environment in which they live without being tracked is preserved. However, in case of need, they can always be quickly localized. To do this, we implement, on top of an RFID-based architecture, a probabilistic model guaranteeing that the probabil… Show more

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Cited by 13 publications
(6 citation statements)
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References 76 publications
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“…Ref. [ 49 ] use k-anonymity [ 57 ] to preserve privacy against client-side and server-side attacks by guaranteeing that the tracked person’s location is guessed with a maximum probability of k . To face the unique requirements in crowd sensing systems, e.g., user privacy and data utility [ 44 ] proposes a concept of mix zones to provide trajectory privacy while achieving high spatial accuracy and only operates over encrypted locations such that traces of the participants are never shared in clear with anyone.…”
Section: Privacy Strategiesmentioning
confidence: 99%
See 1 more Smart Citation
“…Ref. [ 49 ] use k-anonymity [ 57 ] to preserve privacy against client-side and server-side attacks by guaranteeing that the tracked person’s location is guessed with a maximum probability of k . To face the unique requirements in crowd sensing systems, e.g., user privacy and data utility [ 44 ] proposes a concept of mix zones to provide trajectory privacy while achieving high spatial accuracy and only operates over encrypted locations such that traces of the participants are never shared in clear with anyone.…”
Section: Privacy Strategiesmentioning
confidence: 99%
“…Refs. [ 10 , 12 , 37 , 41 , 45 , 47 , 48 , 49 ] provide detailed information about their security analysis and thread models. Using these systems, it is clear which privacy issues have been taken into account, so these systems can be better adapted to individual conditions.…”
Section: Privacy Strategiesmentioning
confidence: 99%
“…A lot of research has been done in the context of IoMT in order to propose novel security systems based on multimedia data, e.g., retina or biometric scanning, voice recognition, and video surveillance systems [10]. In particular, video surveillance devices have become a key requirement for smart city application in order to ensure public safety for crime detection, residential or assisted living facilities [21], [22], industrial surveillance, and other critical spaces [23], [24]. In [21], an IoT residential surveillance system is designed.…”
Section: Related Workmentioning
confidence: 99%
“…Indeed, this concerns situations in which an attacker has already enough information and does not need to find vulnerabilities to bypass any protection mechanism. For this reason, the assumption of no background knowledge is commonly adopted in scientific literature [68]- [71]. Therefore, in our application context, through Assumption A.8, we assume that the attacker has no background knowledge about the monitored building (e.g., number of users in a building or area) or the users' movement habits inside it.…”
Section: Sp4 -Resistance To Behavior-based Deanonymization or Traffimentioning
confidence: 99%
“…In a recent paper 19 the authors propose a technique to localize patients of assisted living facilities by preserving their privacy. This solution addresses a problem different from the one dealt with in our case and is based on the use of active RFID.…”
Section: Related Workmentioning
confidence: 99%