SOURCE-LINKED INTELLIGENCE
On Identifying Adversarial Intent Injection in AI-Native 6G Networks
AI-native 6G networks have brought Intent-Based Networking (IBN) to the forefront, enabling high-level goals to be translated into network configurations. However, this abstraction opens new attack surfaces, primarily adversarial intent injection, where malicious policies are disguised within benign intent flows. The detection of attack instances might become significantly more difficult if the adversaries adopt a stealthy mode of malicious intent injection. With all these in mind, we first define a fine-grained threat model that facilitates the threat of malicious intent injection in an AI-na
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-10T19:23:21.000Z
First collected: 2026-09-20T18:42:18.733Z. This is not the publication date.