Poster Abstract: Side channel communication over wireless traffic : Design

Wenchao Jiang, Zhimeng Yin, Song Min Kim, Tian He

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

Abstract

Recent studies on CTC (cross-Technology communication) have demonstrated the possibility of building direct communication between heterogeneous wireless communication technologies, such as WiFi and ZigBee. However, current solutions suffer from significant spectrum usage or limited throughput. To address the issues, this paper presents Transparent Cross-Technology Communication (TCTC), a novel CTC technique that establishes a side channel by exploiting today's abundant wireless traffic. The key idea of TCTC is to embed messages in the timings of on-going legacy traffic (e.g., HTTP packets in WiFi), with small and bounded impact on upper-layer applications. Feasibility and effectiveness of our design has been validated via test-bed implementations and experiments on bidirectional communication between WiFi and ZigBee platforms.

Original languageEnglish (US)
Title of host publicationProceedings of the 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016
PublisherAssociation for Computing Machinery, Inc
Pages346-347
Number of pages2
ISBN (Electronic)9781450342636
DOIs
StatePublished - Nov 14 2016
Event14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016 - Stanford, United States
Duration: Nov 14 2016Nov 16 2016

Publication series

NameProceedings of the 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016

Other

Other14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016
CountryUnited States
CityStanford
Period11/14/1611/16/16

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  • Cite this

    Jiang, W., Yin, Z., Kim, S. M., & He, T. (2016). Poster Abstract: Side channel communication over wireless traffic : Design. In Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016 (pp. 346-347). (Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016). Association for Computing Machinery, Inc. https://doi.org/10.1145/2994551.2996699