Feasibility Study of Autonomous Drone-based IoT Device Management in Indoor Environments

Haus, Michael; Król, Jan; Ding, Aaron Yi; Ott, Jörg

doi:10.1145/3341568.3342105

Cited by 4 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They direct a user to a location where Channel State Information (CSI) readings are difficult to analyze. In another study [19], small COTS drones are deployed in an indoor environment to detect and map all present IoT devices. Such information is useful to find rogue devices or tracking personal employee devices which might not be permissible in certain private environments (operation rooms or corporate meetings).…”

Section: E Hybrid Methodsmentioning

confidence: 99%

Privacy in Indoor Positioning Systems: A Systematic Review

Holcer

Torres-Sospedra

Gould

et al. 2020

2020 International Conference on Localization and GNSS (ICL-GNSS)

View full text Add to dashboard Cite

This article presents a systematic review of privacy in indoor positioning systems. The selected 41 articles on location privacy preserving mechanisms employ non-inherently private methods such as encryption, k-anonymity, and differential privacy. The 15 identified mechanisms are categorized and summarized by where they are processed: on device, during transmission, or at a server. Trade-offs such as calculation speed, granularity, or complexity in setup are identified for each mechanism. In 40% of the papers, some trade-offs are minimized by combining several methods into a hybrid solution. The combinations of mechanisms and their levels of offered privacy are suggested based on a series of user mobility cases.

show abstract

Section: E Hybrid Methodsmentioning

confidence: 99%