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Projecte ofert

Títol: Synthetic IoT traffic generation with Artificial Intelligence

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Departament: ENTEL

Títol: Synthetic IoT traffic generation with Artificial Intelligence

Data inici oferta: 28-06-2023     Data finalització oferta: 28-02-2024

Estudis d'assignació del projecte:
    MU MASTEAM 2015
Tipus: Individual
Lloc de realització: EETAC
Paraules clau:
Machine Learning, Artificial Intelligence, Internet of Things, IoT, NS-3, Synthetic traffic
Descripció del contingut i pla d'activitats:
The generation of synthetic traffic has many applications. In network security, intrusion detection systems or firewalls must be trained to detect malicious traffic by studying its patterns. Training those systems with real devices in a real environment can be costly and has risks. In network simulation environments, the traffic sources are often overly simplistic, making it difficult to assess the performance of different protocols under study accurately.

Alternatively, synthetic traffic sources can be used to train those network security systems offline or to generate realistic traffic within a simulated environment. Those traffic sources should be capable of mimicking the behavior of real traffic as much as possible.

In this project, the student will work with a pre-existing Python framework to generate synthetic IoT traffic, based on processing real-network traces with machine learning techniques. The traffic generated will be analyzed through NS-3 simulations. The results of this work will be published in a scientific journal.
Orientació a l'estudiant:
The student is expected to be familiar with a Linux environment and have experience with Python programming. Experience with network analysis tools (Wireshark, iperf, ping, etc.) is also required.
Knowledge of machine learning (training and tuning neural networks) and IoT protocols (LoRA, Sigfox, etc.) will add value to the candidate.

Good English writing skills are a must!
Requereix activitats hardware: No
Horari d'atenció a estudiants per a l'assignació de projecte:

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