Intrusion Detection in IoT 5G Networks.

TN France; Palaiseau; Sur place; EUR 40 000 - 80 000; Plein temps

Résumé du poste

Join a forward-thinking company at the forefront of 5G technology, focusing on IoT and security. This role involves developing cutting-edge intrusion detection systems to enhance data trustworthiness in cellular networks. You will engage in innovative projects that integrate AI algorithms to revolutionize data processing for IoT applications. With flexible working hours, generous leave policies, and opportunities for professional development, this position offers a unique chance to make a significant impact in the rapidly evolving field of telecommunications.

Prestations

Partial reimbursement of public transport costs

7 weeks of annual leave

10 extra days off due to RTT

Potential for teleworking

Flexible working hours

Access to professional equipment

Participation in social, cultural, and sports activities

Access to vocational training

Qualifications

• Knowledge of programming languages, preferably Python and C/C++.
• Good command of technical English.

Responsabilités

• Study intrusion detection systems in cellular networks, focusing on IoT.
• Propose and test an Intrusion Detection System for IoT traffic.

Connaissances

Python

C/C++

Technical English

Description du poste

Job Description:

The position is part of the 5G-mMTC research project aiming at deploying a 5G cellular network oriented towards “massive IoT”, compatible with 4G technology. The use cases include the Smart-Grid, in partnership with EDF, and connected bikes, in partnership with the French Cycling Federation (FFC).

As part of the 5G-mMTC project, some activities target IoT in 5G Networks.

The massive influx of connected objects via 5G will increasingly impact business processes involving handling and decision-making. Consequently, application information systems are becoming more vulnerable to attacks through sensors.

This position focuses on studying intrusion detection systems (IDS) in cellular networks, starting with IoT networks such as LTE Cat-M and NB-IoT, and their evolution to 5G equivalents.

The main objective is to propose, deploy, and test an Intrusion Detection System for IoT traffic as a distributed edge application integrated with the 5G core network (Network Edge Architecture). This ensures data trustworthiness evaluation before injection into the information system (IS), along with detection and blocking of malicious traffic.

These edge treatments, integrated with the UPF (User Plane Function), involve developing algorithms based on AI (Machine Learning, Deep Learning, Federated Learning, etc.). This approach decouples sensor management from the IS, allowing data processing from sensors to be exploited by multiple application stakeholders, enabling new B2B business models for telcos to commercialize data.

Minimum Requirements:

• Knowledge of one or more programming languages, preferably Python and C/C++.
• Good command of technical English.

Advantages:

• Partial reimbursement of public transport costs.
• 7 weeks of annual leave + 10 extra days off due to RTT, with the possibility of exceptional leave (e.g., for sick children, moving).
• Potential for teleworking and flexible working hours.
• Access to professional equipment (videoconferencing, loan of computer equipment, etc.).
• Participation in social, cultural, and sports activities.
• Access to vocational training.

Salary will depend on professional experience.