The Internet of Things is the interconnection of uniquely identifiable embedded computing devices within the existing Internet infrastructure. Among the many existing applications, we are interested in sensor networks than target security sensitive facilities(e.g. power plant, water/gas/electric distribution network). For these applications, the robustness of a wireless link against jamming can be a strong requirement. For instance, WiFi technology is not recommended because it is sensitive to jamming and this can alter real-time applications.
This thesis aims at finding new wireless solutions, robust to jamming. This subject has already been studied for a long time for defence applications. The transmitted waveform must have a low probability of detection (LPD) and a low probability of interception (LPI). This property is satisfied by Frequency Hopping Spread Spectrum (FHSS) techniques [1]. It is however a very spectrum demanding solution. One can ask whether it is applicable to a civil environment. In addition, the FHSS technique relies on random sequence generators and recent studies [2] have shown these generators could be attacked using iterative decoding techniques.
During his PhD, the applicant will revisit the existing specifications of FHSS systems and evaluate whether they can be adapted to civilian applications. Then, the robustness of FHSS techniques to iterative decoding techniques will be assessed and alternative solutions will be proposed.
Références
[1] R.L. Peterson, R.E. Ziemer and D.E. Borth, “Introduction to spread-spectrum communications”, Prentice Hall, 1995
[2] M. des Noes, V. Savin, L. Ros and J.M. Brossier, “Blind Identification of the Uplink Scrambling Code Index of a WCDMA Transmission and Application to Femtocell Networks”, Proceedings of the IEEE International Conference on Communications, 2013, Budapest, Hungary
This position is open until it is filled.
Department: Département Systèmes et Intégration de Solutions (LETI)
Laboratory: Laboratoire Etudes et Spécifications de Systèmes de Communication
Start Date: 01-10-2015
ECA Code: SL-DRT-15-0940
Contact: mathieu.desnoes<στο>cea.fr