Proceedings of the Artificial Intelligence Workshop for Computer Networks (WIARC)

Current Issue

2026: Proceedings of the 1st Artificial Intelligence Workshop for Computer Networks

The Proceedings of the 1st Artificial Intelligence Workshop for Computer Networks (WIARC 2026) bring the papers selected and presented in the edition of the event held in Praia do Forte/BA, Brazil, from May 25-29, 2026, as part of the 44th Brazilian Symposium on Computer Networks and Distributed Systems (SBRC 2026). In this issue, the proceedings include 15 full papers. These papers were selected through a single-blind review, from a total of 30 full papers submitted, which implied an acceptance rate of 50%. This volume was organized by Helder Oliveira (USP) and Joahannes Costa (UNIFESP), workshop chairs, and by Rodrigo Mansilha (UNIPAMPA) and Bruno Santos (UFBA), SBRC 2026 publications chairs. The articles in this volume were submitted on 03/03/2026, accepted for publication on 04/16/2026, with the final version submitted on 04/24/2026.

To access the Proceedings of the Main Event, visit the series Proceedings of SBRC 2026.

You can find more information about WIARC 2026 by visiting the website of the event.

Published: 2026-05-25

Full Papers

A Reproducible Semantic Benchmark for Multivendor DSM-to-CLI Translation

Jerônimo Menezes, Leonardo Bitzki, Diego Kreutz, Gefte Almeida, Marcio Pohlmann, Rodrigo Mansilha

1-14
- PDF
Evaluation of Lightweight Models for Anomaly Detection in Home IoT Networks

Euler da Silva Lima, Ana Carolina Xavier Castro, Cauê Rodrigues de Aguiar, Geraldo Pereira Rocha Filho

15-28
- PDF (Português (Brasil))
Evaluation of Machine Learning for Traffic Engineering in Path-Aware Networks

Beatriz Mariano, Cristina Dominicini, Domingos Paraíso, Eduarda Coelho, Daniel Ventorim, Giovanni Comarela, Magnos Martinello

29-42
- PDF (Português (Brasil))
Multicriteria Evaluation of Lightweight Person Detectors for Edge Computing on SBCs: Performance, Latency, and Energy Efficiency

Daniel Morais Cardozo, Sarita Mazzini Bruschi

43-56
- PDF (Português (Brasil))
From Theory to Deployment: A Methodological Framework for In-Network Machine Learning in Programmable Networks

Icaro M. da Silva, Caio Luiz L. T. Silva, Thiago Gouveia, Leandro C. de Almeida

57-70
- PDF (Português (Brasil))
Detection of Non-Responsive ECN Attacks in L4S Architectures Using Supervised Learning

Lucas de Sousa Correia, Jaaziel Batista da Silva, José Silva Floriano, Leandro Cavalcanti de Almeida, Paulo Ditarso Maciel Jr

71-84
- PDF (Português (Brasil))
FedDALE: Efficient Anomaly Detection in Distributed Logs with Federated Small Language Models

Gabriel U. Talasso, Allan M. de Souza, Leandro A. Villas

85-98
- PDF (Português (Brasil))
Leveraging eBPF/XDP for Real-Time Machine Learning Traffic Classification in 5G User Plane Networks

José Silvestre da Silva Galvão, Flávio Geraldo Coelho Rocha, Ruan Delgado Gomes, Leandro C. de Almeida

99-112
- PDF
LLM-Driven Reward Design for Intelligent RAN Slice Scheduling in Open RAN

Pedro Sousa, Frank B. Morte, Andrey Oliveira, Cleverson Nahum, Silvia Lins, Andrey Silva, Aldebaro Klautau

113-126
- PDF
Node-Level KPI Regression over Graph-Structured Mobile Network Data: An Empirical Investigation

Guilherme F. R. Santos, Amadeu do Nascimento Junior

127-140
- PDF
Viewport Prediction for 360° Video Streaming Using Deep Learning: Modeling and Evaluation

Felipe Rosa, Simone Ferlin, Joahannes B. D. da Costa, Bruno Kimura

141-154
- PDF (Português (Brasil))
Machine Learning- and Communication-Based Collision Prevention for Vehicular Networks

Andreia A. Felix, Joahannes B. D. da Costa, Helder M. N. da S. Oliveira

155-168
- PDF (Português (Brasil))
PSLM_NetConfig: A Resource-Efficient Approach for Generating Network Configurations from Natural Language Intent

Luis F. Solis Navarro, Rómulo W. C. Bustincio, Carlos A. Astudillo

169-182
- PDF (Português (Brasil))
Resilience of Federated NIDS in SDN through Behavioral Attestation with Active Semantic Probing

Cassiano Darif Zago, Fábio Lúcio L. de Mendonça, Roger Immich, Rodolfo I. Meneguette, Leandro A. Villas, Geraldo Pereira Rocha Filho

183-196
- PDF (Português (Brasil))
Self-Supervised Learning for Early Preamble Collision Detection in Cellular IoT Networks

Daniela M. Casas-Velasco, Diogo M. da Cunha, Marco A. Guerra, Giancarlo M. Cardenas, Carlos A. Astudillo, Nelson L. S. da Fonseca

197-210
- PDF

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