Fomichev, Mikhail and Álvarez, Flor and Steinmetzer, Daniel and Gardner-Stephen, Paul and Hollick, Matthias (2017):
Survey and Systematization of Secure Device Pairing.
In: IEEE Communications Surveys & Tutorials, PPp. 1, DOI: 10.1109/COMST.2017.2748278,
[Article]
Abstract
Secure Device Pairing (SDP) schemes have been developed to facilitate secure communications among smart devices, both personal mobile devices and Internet of Things (IoT) devices. Comparison and assessment of SDP schemes is troublesome, because each scheme makes different assumptions about out-of-band channels and adversary models, and are driven by their particular use-cases. A conceptual model that facilitates meaningful comparison among SDP schemes is missing. We provide such a model. In this article, we survey and analyze a wide range of SDP schemes that are described in the literature, including a number that have been adopted as standards. A system model and consistent terminology for SDP schemes are built on the foundation of this survey, which are then used to classify existing SDP schemes into a taxonomy that, for the first time, enables their meaningful comparison and analysis. The existing SDP schemes are analyzed using this model, revealing common systemic security weaknesses among the surveyed SDP schemes that should become priority areas for future SDP research, such as improving the integration of privacy requirements into the design of SDP schemes. Our results allow SDP scheme designers to create schemes that are more easily comparable with one another, and to assist the prevention of persisting the weaknesses common to the current generation of SDP schemes.
| Item Type: | Article |
|---|---|
| Erschienen: | 2017 |
| Creators: | Fomichev, Mikhail and Álvarez, Flor and Steinmetzer, Daniel and Gardner-Stephen, Paul and Hollick, Matthias |
| Title: | Survey and Systematization of Secure Device Pairing |
| Language: | English |
| Abstract: | Secure Device Pairing (SDP) schemes have been developed to facilitate secure communications among smart devices, both personal mobile devices and Internet of Things (IoT) devices. Comparison and assessment of SDP schemes is troublesome, because each scheme makes different assumptions about out-of-band channels and adversary models, and are driven by their particular use-cases. A conceptual model that facilitates meaningful comparison among SDP schemes is missing. We provide such a model. In this article, we survey and analyze a wide range of SDP schemes that are described in the literature, including a number that have been adopted as standards. A system model and consistent terminology for SDP schemes are built on the foundation of this survey, which are then used to classify existing SDP schemes into a taxonomy that, for the first time, enables their meaningful comparison and analysis. The existing SDP schemes are analyzed using this model, revealing common systemic security weaknesses among the surveyed SDP schemes that should become priority areas for future SDP research, such as improving the integration of privacy requirements into the design of SDP schemes. Our results allow SDP scheme designers to create schemes that are more easily comparable with one another, and to assist the prevention of persisting the weaknesses common to the current generation of SDP schemes. |
| Journal or Publication Title: | IEEE Communications Surveys & Tutorials |
| Volume: | PP |
| Uncontrolled Keywords: | S1;Solutions |
| Divisions: | DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1119: CROSSING – Cryptography-Based Security Solutions: Enabling Trust in New and Next Generation Computing Environments LOEWE > LOEWE-Zentren > CRISP - Center for Research in Security and Privacy Profile Areas > Cybersecurity (CYSEC) LOEWE > LOEWE-Schwerpunkte > NiCER – Networked infrastructureless Cooperation for Emergency Response 20 Department of Computer Science > Sichere Mobile Netze DFG-Graduiertenkollegs > Research Training Group 2050 Privacy and Trust for Mobile Users DFG-Graduiertenkollegs LOEWE > LOEWE-Schwerpunkte LOEWE > LOEWE-Zentren DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres 20 Department of Computer Science Profile Areas LOEWE DFG-Collaborative Research Centres (incl. Transregio) |
| Date Deposited: | 06 Sep 2017 17:53 |
| DOI: | 10.1109/COMST.2017.2748278 |
| Identification Number: | TUD-CS-2017-0239 |
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