5G security new breed of enablers – INSPIRE-5Gplus deliverable D3.3

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App layer DDOS self-protection framework - INSPIRE-5Gplus

Figure: High-level architecture of app layer DDOS self-protection framework

INSPIRE-5Gplus deliverable D3.3 – 5G security new breed of enablers – presents the set of AI/ML driven enablers developed by the INSPIRE-5Gplus project. INSPIRE-5Gplus has focused on main security use cases and integration aspects of AI/ML for cognitive security functions in 5G and Beyond 5G networks. They include detection and mitigation, data support for cognitive security, robust AI/ML, and the security of AI via software security techniques and resilience schemes.

Accordingly, this deliverable shows that the researched AI/ML techniques improve the identification and detection of network traffic related to malicious activities, such as Botnet traffic, DDoS attacks, V2X misbehaviour, and GPS spoofing. Additionally, an AI/ML driven approach optimizes security mechanisms such as MTD, which requires proactive and efficient decision making.

D3.3: 5G security new breed of enablers (03/03/2022) – PDF for download –

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UMU team - INSPIRE-5GplusFigure 1: MMT-Probe