Smartphone Privacy Leakage of Social Relationships and Demographics from Surrounding Access Points

Chen Wang, Chuyu Wang, Yingying Chen, Lei Xie, Sanglu Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

While the mobile users enjoy the anytime anywhere Internet access by connecting their mobile devices through Wi-Fi services, the increasing deployment of access points (APs) have raised a number of privacy concerns. This paper explores the potential of smartphone privacy leakage caused by surrounding APs. In particular, we study to what extent the users' personal information such as social relationships and demographics could be revealed leveraging simple signal information from APs without examining the Wi-Fi traffic. Our approach utilizes users' activities at daily visited places derived from the surrounding APs to infer users' social interactions and individual behaviors. Furthermore, we develop two new mechanisms: the Closeness-based Social Relationships Inference algorithm captures how closely people interact with each other by evaluating their physical closeness and derives fine-grained social relationships, whereas the Behavior-based Demographics Inference method differentiates various individual behaviors via the extracted activity features (e.g., activeness and time slots) at each daily place to reveal users' demographics. Extensive experiments conducted with 21 participants' real daily life including 257 different places in three cities over a 6-month period demonstrate that the simple signal information from surrounding APs have a high potential to reveal people's social relationships and infer demographics with an over 90% accuracy when using our approach.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017
EditorsKisung Lee, Ling Liu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages678-688
Number of pages11
ISBN (Electronic)9781538617915
DOIs
StatePublished - Jul 13 2017
Externally publishedYes
Event37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017 - Atlanta, United States
Duration: Jun 5 2017Jun 8 2017

Publication series

NameProceedings - International Conference on Distributed Computing Systems

Other

Other37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017
CountryUnited States
CityAtlanta
Period6/5/176/8/17

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Keywords

  • Access Points
  • Demographics Inference
  • Fine-grained Social Relationships Inference
  • Smartphone Privacy Leakage

Fingerprint Dive into the research topics of 'Smartphone Privacy Leakage of Social Relationships and Demographics from Surrounding Access Points'. Together they form a unique fingerprint.

Cite this