Abstract
Indoor positioning systems (IPSes) can enable many location-based services in large indoor environments where GPS is not available or reliable. Mobile crowdsourcing is widely advocated as an effective way to construct IPS maps. This paper presents the first systematic study of security issues in crowd-sourced WiFi-based IPSes to promote security considerations in designing and deploying crowdsourced IPSes. We identify three attacks on crowdsourced WiFi-based IPSes and propose the corresponding countermeasures. The efficacy of the attacks and also our countermeasures are experimentally validated on a prototype system. The attacks and countermeasures can be easily extended to other crowdsourced IPSes.
| Original language | English (US) |
|---|---|
| Title of host publication | INFOCOM 2018 - IEEE Conference on Computer Communications |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1034-1042 |
| Number of pages | 9 |
| Volume | 2018-April |
| ISBN (Electronic) | 9781538641286 |
| DOIs | |
| State | Published - Oct 8 2018 |
| Event | 2018 IEEE Conference on Computer Communications, INFOCOM 2018 - Honolulu, United States Duration: Apr 15 2018 → Apr 19 2018 |
Other
| Other | 2018 IEEE Conference on Computer Communications, INFOCOM 2018 |
|---|---|
| Country | United States |
| City | Honolulu |
| Period | 4/15/18 → 4/19/18 |
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ASJC Scopus subject areas
- Computer Science(all)
- Electrical and Electronic Engineering
Cite this
Secure Crowdsourced Indoor Positioning Systems. / Li, Tao; Chen, Yimin; Zhang, Rui; Zhang, Yanchao; Hedgpeth, Terri.
INFOCOM 2018 - IEEE Conference on Computer Communications. Vol. 2018-April Institute of Electrical and Electronics Engineers Inc., 2018. p. 1034-1042 8486398.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Secure Crowdsourced Indoor Positioning Systems
AU - Li, Tao
AU - Chen, Yimin
AU - Zhang, Rui
AU - Zhang, Yanchao
AU - Hedgpeth, Terri
PY - 2018/10/8
Y1 - 2018/10/8
N2 - Indoor positioning systems (IPSes) can enable many location-based services in large indoor environments where GPS is not available or reliable. Mobile crowdsourcing is widely advocated as an effective way to construct IPS maps. This paper presents the first systematic study of security issues in crowd-sourced WiFi-based IPSes to promote security considerations in designing and deploying crowdsourced IPSes. We identify three attacks on crowdsourced WiFi-based IPSes and propose the corresponding countermeasures. The efficacy of the attacks and also our countermeasures are experimentally validated on a prototype system. The attacks and countermeasures can be easily extended to other crowdsourced IPSes.
AB - Indoor positioning systems (IPSes) can enable many location-based services in large indoor environments where GPS is not available or reliable. Mobile crowdsourcing is widely advocated as an effective way to construct IPS maps. This paper presents the first systematic study of security issues in crowd-sourced WiFi-based IPSes to promote security considerations in designing and deploying crowdsourced IPSes. We identify three attacks on crowdsourced WiFi-based IPSes and propose the corresponding countermeasures. The efficacy of the attacks and also our countermeasures are experimentally validated on a prototype system. The attacks and countermeasures can be easily extended to other crowdsourced IPSes.
UR - http://www.scopus.com/inward/record.url?scp=85052552030&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85052552030&partnerID=8YFLogxK
U2 - 10.1109/INFOCOM.2018.8486398
DO - 10.1109/INFOCOM.2018.8486398
M3 - Conference contribution
VL - 2018-April
SP - 1034
EP - 1042
BT - INFOCOM 2018 - IEEE Conference on Computer Communications
PB - Institute of Electrical and Electronics Engineers Inc.
ER -