Abstract
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 experimental general NIDS based on the Jev System One Model (SOM) to detect zero day intrusions Under label scarcity. JEV-IDS serializes one flow per request and asks JEV two questions: a binary attack probability and a finite-choice traffic category. Our results show that, at k=1, JEV was 4.8 times faster and 3.8 times cheaper than GPT-5.6 Luna, with 1.5 times higher novel-attack recall; it also produced 15 times fewer false alarms than a low-data Random Forest. Across 5,400 decisions on a 300-flow NSL-KDD pilot split, JEV achieved F1-Score 0.859, precision 0.941, recall 0.790, and novel-attack recall 0.838. Increasing k to 2 reduced its F1-Score to 0.839.
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- Open access
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Cite this article
APA 7
Severo, P., Quincozes, S. E., & Dias, A. (2026). Jev-IDS: System One Models for Network Intrusion Detection. https://omanscience.com/en/articles/jev-ids-system-one-models-for-network-intrusion-detection
MLA 9
Severo, Paulo, et al. "Jev-IDS: System One Models for Network Intrusion Detection." https://omanscience.com/en/articles/jev-ids-system-one-models-for-network-intrusion-detection.
Chicago (author–date)
Severo, Paulo, Silvio E. Quincozes, and Amanda Dias. 2026. "Jev-IDS: System One Models for Network Intrusion Detection." https://omanscience.com/en/articles/jev-ids-system-one-models-for-network-intrusion-detection.
Harvard
Severo, P., Quincozes, S. E. and Dias, A. (2026) 'Jev-IDS: System One Models for Network Intrusion Detection', Available at: https://omanscience.com/en/articles/jev-ids-system-one-models-for-network-intrusion-detection.
Vancouver
Severo P, Quincozes SE, Dias A. Jev-IDS: System One Models for Network Intrusion Detection. https://omanscience.com/en/articles/jev-ids-system-one-models-for-network-intrusion-detection
IEEE
P. Severo, S. E. Quincozes, and A. Dias, "Jev-IDS: System One Models for Network Intrusion Detection," https://omanscience.com/en/articles/jev-ids-system-one-models-for-network-intrusion-detection.