PhD Position F/M Temperature-Sensitive Intrusion Detection for Crystal-Free Networks

  • Paris
  • Publier le il y a 2 ans
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  • Annonce N° : 132490

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_Le descriptif de l’offre ci-dessous est en Anglais_ NIVEAU DE DIPLÔME EXIGÉ : Bac + 5 ou équivalent FONCTION : Doctorant CONTEXTE ET ATOUTS DU POSTE In collaboration with Prof. Pister's team at UC Berkeley. MISSION CONFIÉE The Smart Dust project proposed in 1997 by Prof. Kristofer S.J. Pister envisioned a 1 mm3 device with communication, sensing and processing capabilities [1] [2]. The project sparked the interest of the research community, acting as a catalyst for the Internet of Things field [3]. The Smart Dust project was recently revisited at UC Berkeley with state-of-the-art technology. A prototype Single Chip Micro Mote (SCμM) works and forms a synchronized network without crystals [4]. Thanks to its size, SCμM can be added to any hardware component at little cost and operate in a network in a “stand alone” manner. Due to the absence of a crystal, its internal oscillators drift at a rate 2-3 orders of magnitude higher than that of an off-the-shelf radio transceiver. Variations in temperature further worsen the drift, which changes the very basic of how wireless networking is done. [1] K. S. Pister, J. M. Kahn and B. E. Boser, Smart Dust: Wireless Networks of Millimeter-Scale Sensor Nodes, Highlight Article in Electronics Research Laboratory - Research Summary, 1999. [2] J. M. Kahn, R. Katz and K. S. Pister, Next century challenges: Mobile Networking for Smart Dust, MobiCom, August, 1999. [3] M. R. Palattella, N. Accettura, X. Vilajosana, T. Watteyne, L. A. Grieco, G. Boggia and M. Dohler, Standardized Protocol Stack for the Internet of (Important) Things, IEEE Communications Surveys & Tutorials, 2012. [4] T. Chang, T. Watteyne, B. Wheeler, F. Maksimovic, O. Khan, S. Mesri, L. Lee, I. Suciu, D. Burnett, X. Vilajosana and K. Pister, 6TiSCH on SCμM: Running an a Synchronized Protocol Stack without Crystals, MDPI Sensors, 2020. PRINCIPALES ACTIVITÉS Apart from trusting its local clock that drifts, the nodes in the SCμM network must additionally use the time information provided by the network. The fact that timekeeping is no longer local opens up an attack vector: An attacker can disturb the network by heating up a subset of nodes to change their drift. In this thesis, we will research, design and implement an Intrusion Detection System (IDS) that applies machine learning techniques to network drift patterns in order to detect nodes under attack. AVANTAGES * Subsidized meals * Partial reimbursement of public transport costs * Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.) * Possibility of teleworking * Flexible organization of working hours (after 12 months of employment) * Professional equipment available (videoconferencing, loan of computer equipment, etc.) * Social, cultural and sports events and activities * Access to vocational training

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