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Amanda Dias

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#artificial intelligence Preprint Oct 2026

Jev-IDS: System One Models for Network Intrusion Detection

Machine-learning Network Intrusion Detection Systems (IDS) depend on substantial labeled datasets and task-specific training, whereas Large Language Models (LLMs) detection can analyze flow records directly but incurs higher inference cost and latency, with less constrained outputs. This paper presents JEV-IDS, an open...

P. Severo, S. E. Quincozes, Amanda Dias · 0 citations

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