IZI - Intelligent Zero-Trust Network for IoT (IZI)


Main funder


Funds granted by main funder (€)

75 000,00


Funding program

Others, H2020 (H2020)


Project timetable

Project start date: 01/05/2020

Project end date: 30/11/2020


Summary

Investigate how recent advances in reinforcement machine learning can be employed to enhance IoT security mechanisms in a zero-trust networks. With the progress in cloud and edge computing, we believe there is a possibility to design virtualized environments capable of simulating both benign and malicious traffic that can be efficiently employed for training state-of-art RL agents. The main practical contribution is developing an intelligent defense system which relies on SDN and NFV technologies and allows customers to mitigate attacks performed against their devices by evaluating risks related to the intrusion and making an optimal real-time decision on the security policy.


Principal Investigator


Primary responsible unit


Last updated on 2020-26-10 at 10:05