6G-SANDBOX

An end-to-end security architecture in 5G and B5G that incorporates Artificial Intelligence (AI) approaches is required to autonomously identify and respond to possible attacks based on network abnormalities rather than traditional authentication and authorization methods. ARROW targets systematic experiments with an SDN-based platform that provides AI-powered Digital Security mechanisms to generate, detect, and prevent attacks over 5G and B5G networks. The ARROW solution includes: (i) end-to-end AI-enabled threat detection and prevention techniques; and (ii) attack configuration tools for AI-powered attack generation on multiple threat vectors. The capabilities of the 5G cybersecurity platform are enhanced through experimentation in 6G-SANDBOX facilities (Malaga platform) in terms of extended experiments both from the user side and telecommunication provider side. The experiments involve various attacks and 5G protocols, while AI-enabled mechanisms are examined to generate the attacks and enable AI-based penetration testing of the facilities. A detailed data collection procedure is adopted for every conducted experiment to formulate tailored datasets that can further accelerate research on 5G/6G cybersecurity and derive updated AI models tailored to testbed intrusion detection capabilities. A validation procedure is performed to enable the ARROW Cybersecurity Module to be added to 6G-SANDBOX infrastructure for further experimentation.