| Title | Channel Spoofer: Defeating Channel Variability and Unpredictability |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Qiao, Yue, Srinivasan, Kannan, Arora, Anish |
| Conference Name | Proceedings of the 13th International Conference on Emerging Networking EXperiments and Technologies |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-5422-6 |
| Keywords | channel reciprocity, composability, Metrics, physical layer security, pubcrawl, resilience, Resiliency, wireless network |
| Abstract | A vast literature on secret sharing protocols now exists based on the folk theorem that the wireless channel between communicating parties Alice and Bob cannot be controlled or predicted by a third party in a fine-grain way. We find that the folk theorem unfortunately does not hold. In particular, we show how an adversary, using a customized full-duplex forwarder, can control the channel seen by Alice and Bob in fine granularity without leaving a trace, while predicting with high probability the secrets generated by any channel reciprocity based secret sharing protocol. An implementation of our proposed secret manipulator, called Channel Spoofer, on a software-defined radio platform empirically verifies Channel Spoofer's effectiveness in breaking several representative state-of-the-art secret sharing protocols. To the best of our knowledge, the proposed Channel Spoofer is the first practical attacker against all extant channel reciprocity based secret sharing protocols. |
| URL | http://doi.acm.org/10.1145/3143361.3143396 |
| DOI | 10.1145/3143361.3143396 |
| Citation Key | qiao_channel_2017 |
Channel Spoofer: Defeating Channel Variability and Unpredictability