DESCRIPTION :
The subject of this thesis is part of the context of (cyber)criminal activity detection and countermeasures by developing a surveillance infrastructure for target areas. This infrastructure consists of heterogeneous nodes, where the deployment of reprogrammable connected objects is envisaged, as well as thin and flexible planar antennas made of conductive nanomaterials. Furthermore, the nodes can intercept and counter specific target signals, minimizing the impact on other neighboring nodes, which communicate on the same frequencies. The reason why connected objects are considered heterogeneous is related to the fact that in a hyperconnected world, we may be in the presence of numerous devices communicating and emitting electromagnetic waves at overlapping frequencies. On the one hand, we hope to be able to consider specifically designed antennas that can blend into the environment to exploit data captured in the environment, which may come from people (i.e., "passive" interactions with
the antennas) or from connected objects, which emit signals that are captured by the antennas. On the other hand, we also hope to use reprogrammable connected objects that can coexist and interact with the "thin" antennas.
Different scenarios will be considered, distinguishing the passive case where there are emissions in a certain area, but there are no connected objects communicating.
Another scenario is based on the presence of connected objects that emit signals that will be intercepted and analyzed. The environments can be indoor or outdoor, characterized by significantly different interactions and phenomena regarding the signals [bel24][alla-wisec24]. In a scenario without connected objects, the goal will be to leverage the surveillance infrastructure to detect the presence of signals.
In a scenario with connected objects, we envision collecting raw data/signals/I/Q, processing them, and analyzing them. In both cases, we will develop learning approaches to characterize the environment. For transmitting devices, the goal is to identify: -) the communication technology (i.e., 3G/4G/5G, Bluetooth, WiFi), -) identify the frequencies in which the target devices are transmitting, -) perform real-time demodulation, -) identify the devices, -) locate the devices, and -) intercept the signals from the target devices.
Code d'emploi : Ingénieur Wireless (h/f)
Domaine professionnel actuel : Ingénieurs, Projeteurs et Techniciens Électricité
Niveau de formation : Bac+5
Temps partiel / Temps plein : Plein temps
Type de contrat : Contrat à durée déterminée (CDD)
Compétences : 4G (Telecommunication), Bluetooth, C ++ (Langage de Programmation), Programmation Informatique, Linux, Python (Langage de Programmation), Données Brutes, Traitement de Signal, Réseaux sans Fil, Technologie WiFi, Technologies Informatiques, Anglais, Sens de la Communication, Axé sur le Succès, Esprit d'Équipe, Antenne, Télécommunications, Électronique, Gestion des Infrastructures, Traitement par Ondes Magnétiques
Courriel :
webmaster@inria.fr
Téléphone :
0139635511
Type d'annonceur : Employeur direct