Python Job: Security Researcher - These CIFRE - Join the R&D !

Our Phenomenal Opportunity!

Security aspects within the mobile networks becomes more and more important. IoT, 5G, virtualization, all exciting and ambitious areas that highlight the importance of an e2e security attitude.

The security sector within DNEW (DNEW NSV Security) is the overall DNEW product security competence center, and we are now looking for persons to strengthen Ericsson’s ability for security solutions moving forward.

This position is PhD student position in R&D team and the topic of the PhD is to work on a Resilient Collaborative Detection and Decision Framework based on AI to Enhance Security against Cyber-Attacks Targeting the upcoming Beyond Fifth Generation (B5G) Network.

In parallel, you will discover all other 5G R&D activities like activities to secure products and features done in a secured way, activities like drive high level studies to define requirements moving forward or to take the requirements to more implementation proposals. You will discover also securing appropriate processes and development flow related to product security.

You will handle!

The main purpose of this PhD thesis is to propose and develop innovative collaborative detection (prediction) and decision-making techniques based on machine learning algorithms to protect the critical components of 5G’s RAN from smart and complex attacks such as AI-related attackers and unknown threats. Among the main components of 5G’s RAN that are attractive targets of attackers, we cite Control Unit (CU), Decision Unit (DU), Radio Unit (RU).

The idea is that the AI detection and decision systems that will be proposed by the PhD will be activated at each critical virtual function and collaborate between each other to detect the unknown attacks’ misbehavior (i.e., zero-day attacks), while taking into account the network metrics such as latency, communication overhead and packets lost. The expected results of the PhD can be summarized as follows:

• Propose new AI-related attacks models of the B5G’s RAN.
• Propose resilient collaborative hybrid detection systems able to detect the known and unknown attacks’ misbehaviors and to be resilient against the AI-related attackers targeting the critical components of 5G’s RAN (where the detection system is activated).
• Propose a mathematical model of collaborative cyber decision-making systems. This model investigates the behaviors of suspected attackers by monitoring the interaction between the hybrid detection system and these attackers with the goal to refine the detection provided by the hybrid system, i.e., reduces further the false positive rate.
• Conceive a Proof of Concept (PoC) for the resilient collaborative detection (prediction) and cyber decision-making systems that take into account the security and B5G network metrics, such as detection and false positive rates, reaction time, latency, computation overhead and packets lost. The PoC will be embedded within Virtual Network Functions (VNFs) deployed within testbed network (such as Open-Air Interface).
• Interact with 3GPP Ericsson experts (SA5 and SA3) for a possibility to standardize a part or all the software building blocks of the resilient collaborative detection and cyber decision-making systems.

The main innovative aspect of this PhD thesis is to study the optimal combination between the signature-based detection and machine learning based detection techniques with a goal to leverage the advantages of each detection technique against unknown threats and to be resilient from AI-related attacks. In addition, the PhD thesis will focus on proposing a new reaction mechanism based on a decision –making model (e.g., by using game theory) to address the decision-making issue and hence reduce further the false positive rate.

To be successful in the role, you must have:

Core Competences:

• MSc level in a technical field or an equivalent level of knowledge, especially in cyber security and AI.
• Good understanding of Machine Learning theory and techniques
• Good programming skills in Python, (R, Scala)
• Applications/ domain-knowledge in telecommunication is a plus.
• Your research capabilities will be evaluated by the lab DRIVE from University of Burgundy who will mentor during all the PhD
• Well developed communication skills
• Personal values in line with Ericsson core values
• Large degree of flexibility and willingness to seek different tasks
• Strong result oriented and finds it stimulating to work with change in a global team setup
• Good English language skills in both writing and conversation, and additional French language skills are a plus

What happens once you apply?

As soon as you apply, we will check your profile and we will organize a meeting with our partner from University of Burgundy.