Intrusion Detection in IoT 5G Networks.
il y a 3 semaines
Contexte et atouts du poste
The position is part of the 5G-mMTC research project aiming at deploying a 5G cellular network oriented “massive IoT”, compatible with 4G technology. The use cases are the Smart-Grid, in partnership with EDF and the connected bike, in partnership with the French Cycling Federation (FFC).
Mission confiée
As part of the project 5G-mMTC, some of the activities are targetting IoT in 5G Networks.
The massive influx of connected objects via 5G will increasingly be directed towards business processes for handling and integrating into decision-making processes. Consequently, application information systems are becoming increasingly vulnerable to attacks that can occur through sensors.
This position focuses on the study of intrusion detection systems (IDS) of cellular networks. We will focus start from the case of IoT networks such as LTE Cat-M and NB-IoT, and their evolution to 5G equivalents.
Principales activités
More specifically, the objective of this task is to propose, deploy, and test an Intrusion Detection System for IoT traffic as a distributed edge application hosted and coupled with the 5G core network (Network Edge Architecture). Consequently, beyond merely routing traffic, the operator will ensure the evaluation of data trustworthiness before their injection into the information system (IS), as well as the detection and blocking of malicious traffic.
These edge treatments, integrated with the UPF (User Plane Function), require the development of algorithms based on AI (Machine Learning, Deep Learning, Federated Learning, etc.). This approach ensures a decoupling between the management of sensors and the IS. In other words, the operator will process the data from the sensor fleet, which can then be used and exploited by multiple application stakeholders for similar or heterogeneous needs. It should be noted that this function will open new B2B business models for telcos to commercialize data to business-oriented actors.
Compétences
Knowledge of one or more programming languages, preferably Python and C/C++. A good command of technical English
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 and flexible organization of working hours Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training
Rémunération
Income in regards to professional experience
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