Cristin-resultat-ID: 1784009
Sist endret: 26. februar 2020 11:32
NVI-rapporteringsår: 2019
Resultat
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2019

Anatomy of Commercial IMSI Catchers and Detectors

Bidragsytere:
  • Shinjo Park
  • Altaf Shaik
  • Ravishankar Bhaskarrao Borgaonkar og
  • Jean-Pierre Seifert

Bok

WPES'19: Proceedings of the 18th ACM Workshop on Privacy in the Electronic Society
ISBN:
  • 978-1-4503-6830-8

Utgiver

Association for Computing Machinery (ACM)
NVI-nivå 1

Serie

Proceedings of the ACM Conference on Computer and Communications Security
ISSN 1543-7221
NVI-nivå 1

Om resultatet

Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Publiseringsår: 2019
Hefte: 2019 proceedings
Sider: 74 - 86
ISBN:
  • 978-1-4503-6830-8

Klassifisering

Fagfelt (NPI)

Fagfelt: Informatikk og datateknikk
- Fagområde: Realfag og teknologi

Beskrivelse Beskrivelse

Tittel

Anatomy of Commercial IMSI Catchers and Detectors

Sammendrag

IMSI catchers threaten the privacy of mobile phone users by identifying and tracking them. Commercial IMSI catcher products exploit vulnerabilities in cellular network security standards to lure nearby mobile devices. Commercial IMSI catcher's technical capabilities and operational details are still kept as a secret and unclearly presented due to the lack of access to these products from the research perspective. On the other hand, there are several solutions to detect such IMSI catchers to protect the privacy of mobile subscribers. However, detecting IMSI catchers effectively on commercial smartphones is still a challenge. In this paper, we present a systematic study of IMSI catchers, especially commercially available ones. Starting from publicly available product brochures, we analyze information from the international patent databases, attacking techniques used by them and vulnerabilities exploited in cellular networks (2G, 3G, and 4G). To this end, we survey IMSI catcher detection techniques and their limitations. Finally, we provide insights that we believe help guide the development of more effective and efficient IMSI catcher detection techniques.

Bidragsytere

Shinjo Park

  • Tilknyttet:
    Forfatter
    ved Technische Universität Berlin

Altaf Shaik

  • Tilknyttet:
    Forfatter
    ved Technische Universität Berlin

Ravishankar Bhaskarrao Borgaonkar

  • Tilknyttet:
    Forfatter
    ved Software Engineering, Safety and Security ved SINTEF AS

Jean-Pierre Seifert

  • Tilknyttet:
    Forfatter
    ved Technische Universität Berlin
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Resultatet er en del av Resultatet er en del av

WPES'19: Proceedings of the 18th ACM Workshop on Privacy in the Electronic Society.

Cavallaro, Lorenzo; Kinder, Johannes; Domingo-Ferrer, Josep. 2019, Association for Computing Machinery (ACM). Vitenskapelig antologi/Konferanseserie
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