IEEE Open Journal of the Communications Society • Vol 6
A Trust-By-Learning Framework for Secure 6G Wireless Networks Under Native Generative AI Attacks
January 2025 • Md. Shirajum Munir, Sravanthi Proddatoori, Manjushree Muralidhara, Trinidad Mario Dena, Walid Saad, Zhu Han, Sachin Shetty
Sixth-generation <inline-formula> <tex-math notation="LaTeX">$(6G)$ </tex-math></inline-formula> wireless networks will become vulnerable due to native generative AI (GenAI)-driven intelligent poisoning attacks in both the radio unit and the core network. In particular, network parameters and metrics in cross-layer design pose fundamentally uncertain conditions and can be compromised through the native GenAI mechanism, which leverages data augmentation and reconstruction capabilities. This work investigates the ca…