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Security and Privacy of Wireless Beacon Systems

Cryptography and Security · Submitted 13 Jul 2021

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim A characterization of attacks against beacon systems is given to help understand adversary motives, required adversarial capabilities, potential impact and possible defence mechanisms for different threats, with a view to facilitating security evaluation and protection formulation for beacon systems.

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arXiv ID2107.05868 (version 2)
Pith IDIRQGTUIK, Pith's permanent record of this paper and its review
CitationAldar C-F. Chan, Raymond M. H. Chung. "Security and Privacy of Wireless Beacon Systems." arXiv:2107.05868 (2021). https://pith.science/paper/IRQGTUIK
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,608 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.06 · human participants 0.13 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.03 · compares with prior results 0.04 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v2. Results and the main claim are underlined; .

Bluetooth Low Energy (BLE) beacons have been increasingly used in smart city applications, such as location-based and proximity-based services, to enable Internet of Things to interact with people in vicinity or enhance context-awareness. Their widespread deployment in human-centric applications makes them an attractive target to adversaries for social or economic reasons. In fact, beacons are reportedly exposed to various security issues and privacy concerns. A characterization of attacks against beacon systems is given to help understand adversary motives, required adversarial capabilities, potential impact and possible defence mechanisms for different threats, with a view to facilitating security evaluation and protection formulation for beacon systems.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Bluetooth Low Energy (BLE) beacons have been increasingly used in smart city applications, such as location-based and proximity-based services, to enable Internet of Things to interact with people in vicinity or enhance context-awareness. background 1.00 0.05 0.03 asserted 1.00
s1 Their widespread deployment in human-centric applications makes them an attractive target to adversaries for social or economic reasons. background 1.00 0.08 0.04 asserted 0.96
s2 In fact, beacons are reportedly exposed to various security issues and privacy concerns. background 0.99 0.07 0.07 asserted 0.82
s3 A characterization of attacks against beacon systems is given to help understand adversary motives, required adversarial capabilities, potential impact and possible defence mechanisms for different threats, with a view to facilitating security evaluation and protection formulation for beacon systems. contribution 0.99 0.83 0.30 asserted 0.97

What kind of paper the classifier reports this is: review 0.98 · evidence from literature 0.64.

What was examined, and what was not

sources read
  • arXiv listing abstract v2
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  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
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  • P abstract
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  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Bluetooth Low Energy (BLE) beacons have been increasingly used in smart city applications, such as location-based and proximity-based services, to enable Internet of Things to interact with people in vicinity or enhance context-awareness. Their widespread deployment in human-centric applications makes them an attractive target to adversaries for social or economic reasons. In fact, beacons are reportedly exposed to various security issues and privacy concerns. A characterization of attacks against beacon systems is given to help understand adversary motives, required adversarial capabilities, potential impact and possible defence mechanisms for different threats, with a view to facilitating security evaluation and protection formulation for beacon systems.

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