Encoder-based LLMs detect SDN intrusions with decisions driven by meaningful traffic behaviors, as validated by attribution analysis aligning with established intrusion principles.
Evaluating machine learning-based intrusion detection systems with explainable ai: enhancing transparency and inter- pretability,
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Attribution-Driven Explainable Intrusion Detection with Encoder-Based Large Language Models
Encoder-based LLMs detect SDN intrusions with decisions driven by meaningful traffic behaviors, as validated by attribution analysis aligning with established intrusion principles.