Intent-based networking (IBN) lets operators state the outcome they want and leaves its translation into network policy to software, an approach AI-native 6G designs have moved to the forefront. Researchers at the University of Ottawa and Nokia Bell Labs argue that this abstraction gives attackers new openings, and it tests two machine-learning detectors against one of them. Threat model−Malicious intent injection through vulnerable API (Source: Research paper) The authors call that threat adversarial intent injection: … More →The post Intent injection attacks are a new worry for AI-native 6G networks appeared first on Help Net Security.