Intent Interpretation at RIC Timescales: Jev Decision Models versus Large Language Models in 6G Open RAN
Jev-1.13.0 meets a one-second Open RAN intent budget far more often than hosted LLMs.
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Stories tagged #intent-based-networking
Intent injection attacks are a new worry for AI-native 6G networks
University of Ottawa and Nokia Bell Labs researchers detail adversarial intent injection against AI-native 6G networks and evaluate two ML detectors on 1,100 crafted intents.
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NetInspector: Measuring and Improving LLM Capabilities for Reliable Intent-Based Networking Policy Generation
NetInspector grounds LLM network-policy decisions and cuts security false negatives by over 30%.
On Identifying Adversarial Intent Injection in AI-Native 6G Networks
Dual-path CNN and AutoEncoder framework detects adversarial intent injection in AI-native 6G networks, reaching 0.97 accuracy and 0.98 F1.