INtelligent Security and PervasIve tRust for 5G and BeyondGrant Agreement • April 9th, 2023
Contract Type FiledApril 9th, 2023Deliverable type R (Document, report) Dissemination level PU (Public) Due date 28/02/2022 Submission date 03/03/2022 Lead editor Gürkan Gür (ZHAW) Authors Pawani Porambage (UOULU), Yushan Siriwardana (UOULU), Roshan Sedar (CTTC), Charalampos Kalalas (CTTC), Wissem Soussi (ZHAW), Huu Nghia Nguyen (MI), Edgardo Montes de Oca (MI), Vincent Lefebvre (TAGES), Gianni Santinelli (TAGES), Juan Carlos Caja (TID), Antonio Pastor (TID), Chafika Benzaid (OULU), Othmane Hireche (AALTO), Yongchao Dang (AALTO), Tarik Taleb (OULU), Geoffroy Chollon (Thales), Maria Christopoulou (NCSRD), Pablo Fernández, Alejandro Molina Zarca (UMU) Reviewers Chafika Benzaid (OULU), A. Selman Bozkurt (ZHAW), Ayed Dhouha (Thales), Wissem Soussi (ZHAW) Work package, Task WP3, T3.3 Keywords AI/ML, security for 5G and Beyond, smart security, attack detection and mitigation
INtelligent Security and PervasIve tRust for 5G and BeyondGrant Agreement • March 3rd, 2022
Contract Type FiledMarch 3rd, 2022This report describes the work done in the WP3 within the Task 3.3 “Exploration of additional AI techniques and solutions”. This task aims to explore the use of AI/ML driven security for 5G and future networks. It focuses on two aspects of “Security by AI/ML” and “Security of AI/ML”, the latter analysed especially from a software security perspective as the network assets including security functions themselves are becoming increasingly part of a distributed software ecosystem in communication networks. The security enablers investigated and elaborated in this deliverable aim to alleviate security issues in 5G and Beyond networks in a wide range from application layer to hardware-provided security primitives.