Providing security and privacy in smart house through mobile cloud computing. - Rafael Ribeiro; Altair Olivo Santin; Vilmar Abreu; João Eugenio Marynowski; Eduardo Viegas 001 (LATINCOM, 2016)

A Resilient Stream Learning Intrusion Detection Mechanism for Real-Time Analysis of Network Traffic. - Eduardo Viegas 001; Altair Olivo Santin; Nuno Ferreira Neves; Alysson Bessani; Vilmar Abreu (GLOBECOM, 2017)

A multi-domain role activation model. - Vilmar Abreu; Altair Olivo Santin; Eduardo Viegas 001; Maicon Stihler (ICC, 2017)

Stream learning and anomaly-based intrusion detection in the adversarial settings. - Eduardo Viegas 001; Altair Olivo Santin; Vilmar Abreu; Luiz S. Oliveira (ISCC, 2017)

Toward a reliable anomaly-based intrusion detection in real-world environments. - Eduardo Viegas 001; Altair Olivo Santin; Luiz S. Oliveira (Comput. Networks, 2017)

Towards an Energy-Efficient Anomaly-Based Intrusion Detection Engine for Embedded Systems. - Eduardo Viegas 001; Altair Olivo Santin; André França 001; Ricardo P. Jasinski; Volnei A. Pedroni; Luiz S. Oliveira (IEEE Trans. Computers, 2017)

A Machine Learning Auditing Model for Detection of Multi-Tenancy Issues Within Tenant Domain. - Cleverton Vicentini; Altair Olivo Santin; Eduardo Viegas 001; Vilmar Abreu (CCGrid, 2018)

Enabling Anomaly-based Intrusion Detection Through Model Generalization. - Eduardo Viegas 001; Altair Olivo Santin; Vilmar Abreu; Luiz S. Oliveira (ISCC, 2018)

A reliable and energy-efficient classifier combination scheme for intrusion detection in embedded systems. - Eduardo Viegas 001; Altair Olivo Santin; Luiz Oliveira 003; André França 001; Ricardo P. Jasinski; Volnei A. Pedroni (Comput. Secur., 2018)

Towards Reliable Intrusion Detection in High Speed Networks. - Eduardo K. Viegas; Altair O. Santin (SBRC Companion, 2019)

BigFlow: Real-time and reliable anomaly-based intrusion detection for high-speed networks. - Eduardo Viegas 001; Altair Olivo Santin; Alysson Bessani; Nuno Neves 001 (Future Gener. Comput. Syst., 2019)

SDN-based and multitenant-aware resource provisioning mechanism for cloud-based big data streaming. - Cleverton Vicentini; Altair Olivo Santin; Eduardo Viegas 001; Vilmar Abreu (J. Netw. Comput. Appl., 2019)

Identity and Access Management for IoT in Smart Grid. - Vilmar Abreu; Altair Olivo Santin; Eduardo K. Viegas; Vinicius Vielmo Cogo (AINA, 2020)

A Long-Lasting Reinforcement Learning Intrusion Detection Model. - Roger Robson dos Santos; Eduardo Kugler Viegas; Altair O. Santin; Vinicius Vielmo Cogo (AINA, 2020)

Facing the Unknown: A Stream Learning Intrusion Detection System for Reliable Model Updates. - Eduardo K. Viegas; Altair Santin Santin; Vinicius Vielmo Cogo; Vilmar Abreu (AINA, 2020)

A Reliable Semi-Supervised Intrusion Detection Model: One Year of Network Traffic Anomalies. - Eduardo K. Viegas; Altair Olivo Santin; Vinicius Vielmo Cogo; Vilmar Abreu (ICC, 2020)

A Host-based Intrusion Detection Model Based on OS Diversity for SCADA. - Bruno B. Bulle; Altair O. Santin; Eduardo K. Viegas; Roger Robson dos Santos (IECON, 2020)

Towards Real-time Video Content Detection in Resource Constrained Devices. - Jhonatan Geremias; Altair O. Santin; Eduardo K. Viegas; Alceu S. Britto Jr. (IJCNN, 2020)

A Lightweight Network-based Android Malware Detection System. - Igor Jochem Sanz; Martin Andreoni Lopez; Eduardo Kugler Viegas; Vinicius Rodrigues Sanches (Networking, 2020)

PPCensor: Architecture for real-time pornography detection in video streaming. - Jackson Mallmann; Altair Olivo Santin; Eduardo Kugler Viegas; Roger Robson dos Santos; Jhonatan Geremias (Future Gener. Comput. Syst., 2020)

Improving Intrusion Detection Confidence Through a Moving Target Defense Strategy. - Roger Robson dos Santos; Eduardo K. Viegas; Altair O. Santin (GLOBECOM, 2021)

A Reminiscent Intrusion Detection Model Based on Deep Autoencoders and Transfer Learning. - Roger Robson dos Santos; Eduardo K. Viegas; Altair O. Santin (GLOBECOM, 2021)

A Machine Learning Model for Detection of Docker-based APP Overbooking on Kubernetes. - Felipe Ramos; Eduardo K. Viegas; Altair O. Santin; Pedro Horchulhack; Roger Robson dos Santos; Allan Espindola (ICC, 2021)

A Multi-View Intrusion Detection Model for Reliable and Autonomous Model Updates. - Rivaldo L. Tomio; Eduardo K. Viegas; Altair O. Santin; Roger Robson dos Santos (ICC, 2021)

A Deep Autoencoder and RNN Model for Indoor Localization with Variable Propagation Loss. - Allan Espindola; Eduardo K. Viegas; Andre Traleski; Marcelo E. Pellenz; Altair O. Santin (WiMob, 2021)

Enhancing service maintainability by monitoring and auditing SLA in cloud computing. - Eduardo Viegas 001; Altair O. Santin; Juliana Bachtold; Darlan Segalin; Maicon Stihler; Arlindo L. Marcon Jr.; Carlos Maziero (Clust. Comput., 2021)

Machine Learning Intrusion Detection in Big Data Era: A Multi-Objective Approach for Longer Model Lifespans. - Eduardo Viegas 001; Altair Olivo Santin; Vilmar Abreu (IEEE Trans. Netw. Sci. Eng., 2021)

A Stream Learning Intrusion Detection System for Concept Drifting Network Traffic. - Pedro Horchulhack; Eduardo K. Viegas; Martin Andreoni Lopez (CSNet, 2022)

Detection of Service Provider Hardware Over-commitment in Container Orchestration Environments. - Pedro Horchulhack; Eduardo K. Viegas; Altair O. Santin (GLOBECOM, 2022)

Intrusion Detection Model Updates Through GAN Data Augmentation and Transfer Learning. - Pedro Horchulhack; Eduardo K. Viegas; Altair O. Santin; Jhonatan Geremias (GLOBECOM, 2022)

A Machine Learning-Based Digital Twin Model for Pressure Prediction in the Fuel Injection System. - Edwin P. Duarte; Eduardo K. Viegas; Altair O. Santin (IECON, 2022)

Towards Multi-view Android Malware Detection Through Image-based Deep Learning. - Jhonatan Geremias; Eduardo K. Viegas; Altair O. Santin; Alceu S. Britto Jr.; Pedro Horchulhack (IWCMC, 2022)

A motion-based approach for real-time detection of pornographic content in videos. - Jhonatan Geremias; Eduardo K. Viegas; Alceu S. Britto Jr.; Altair O. Santin (SAC, 2022)

Toward feasible machine learning model updates in network-based intrusion detection. - Pedro Horchulhack; Eduardo K. Viegas; Altair O. Santin (Comput. Networks, 2022)

Context-Aware Security in the Internet of Things: A Review. - Everton de Matos; Eduardo Viegas 001; Ramão Tiago Tiburski; Fabiano Hessel (AINA (3), 2023)

A Dynamic Machine Learning Scheme for Reliable Network-Based Intrusion Detection. - Eduardo K. Viegas; Everton de Matos; Paulo Roberto de Oliveira; Altair O. Santin (AINA (2), 2023)

Towards a Reliable Hierarchical Android Malware Detection Through Image-based CNN. - Jhonatan Geremias; Eduardo K. Viegas; Altair O. Santin; Alceu S. Britto Jr.; Pedro Horchulhack (CCNC, 2023)

A Generative Adversarial Network-based Attack for Audio-based Condition Monitoring Systems. - Abdul Rahman Ba Nabila; Eduardo K. Viegas; Abdelrahman AlMahmoud; Willian T. Lunardi (CCNC, 2023)

Towards a Reliable and Lightweight Onboard Fault Detection in Autonomous Unmanned Aerial Vehicles. - Sai Srinadhu Katta; Eduardo Kugler Viegas (ICRA, 2023)

Towards a Robust Adversarial Patch Attack Against Unmanned Aerial Vehicles Object Detection. - Samridha Shrestha; Saurabh Pathak; Eduardo K. Viegas (IROS, 2023)

Integrating VirtIO and QEMU on seL4 for Enhanced Devices Virtualization Support. - Everton de Matos; Conor Lennon; Eduardo K. Viegas; Markku Ahvenjärvi; Hannu Lyytinen; Ivan Kuznetsov; Joonas Onatsu; Anh Huy Bui (TrustCom, 2023)

A Dynamic Network-based Intrusion Detection Model for Industrial Control Systems. - Paulo Roberto de Oliveira; Altair O. Santin; Pedro Horchulhack; Eduardo K. Viegas; Everton de Matos (TrustCom, 2023)

Toward a Reliable Evaluation of Machine Learning Schemes for Network-Based Intrusion Detection. - Eduardo K. Viegas; Altair O. Santin; Pietro Tedeschi (IEEE Internet Things Mag., 2023)

Reinforcement Learning for Intrusion Detection: More Model Longness and Fewer Updates. - Roger Robson dos Santos; Eduardo K. Viegas; Altair O. Santin; Vinicius Vielmo Cogo (IEEE Trans. Netw. Serv. Manag., 2023)

Federated learning for reliable model updates in network-based intrusion detection. - Roger Robson dos Santos; Eduardo K. Viegas; Altair O. Santin; Pietro Tedeschi (Comput. Secur., 2023)

A Review of Social Network Regulations and Mechanisms for Safeguarding Children's Privacy. - Mykaele F. Abreu; Eduardo K. Viegas; Altair O. Santin (AINA (5), 2024)

A Non-interactive One-Time Password-Based Method to Enhance the Vault Security. - Juarez Oliveira; Altair O. Santin; Eduardo Viegas 001; Pedro Horchulhack (AINA (4), 2024)

A Multi-View Android Malware Detection Model Through Multi-Objective Optimization. - Philipe Fransozi; Jhonatan Geremias; Eduardo K. Viegas (ICMLA, 2024)

Towards a Feasible Palm Vein Verification Scheme Using Deep Autoencoder and Siamese Networks. - Mateus Nunes; Eduardo K. Viegas; Altair O. Santin (ICMLA, 2024)

Passive Identification of Rogue Industrial Access Points Using a One-Class Machine Learning Model. - André L. de S. Paula; Eduardo K. Viegas; Altair O. Santin (IECON, 2024)

Toward a Reliable Network-Based Intrusion Detection Model for SCADA: A Classification with Reject Option Approach. - Paulo Roberto de Oliveira; Eduardo K. Viegas; Altair O. Santin; Pedro Horchulhack; Everton de Matos (IJCNN, 2024)

Network-based Intrusion Detection Through Image-based CNN and Transfer Learning. - Pedro Horchulhack; Eduardo K. Viegas; Altair O. Santin; João A. Simioni (IWCMC, 2024)

Detection of quality of service degradation on multi-tenant containerized services. - Pedro Horchulhack; Eduardo K. Viegas; Altair O. Santin; Felipe Ramos; Pietro Tedeschi (J. Netw. Comput. Appl., 2024)

On the Challenges of Implementing MLOps for Stream Learning Algorithms. - Miguel G. Rodrigues; Eduardo K. Viegas; Fabrício Enembreck; Altair O. Santin; Juliano S. Langaro; Adilson G. Filho (AINA (3), 2025)

An Early Exit Deep Neural Network for Fast Inference Intrusion Detection. - João A. Simioni; Eduardo Kugler Viegas; Altair O. Santin; Pedro Horchulhack (SAC, 2025)

A Big Data Framework for Scalable and Cross-Dataset Capable Machine Learning in Network Intrusion Detection Systems. - Vinícius M. de Oliveira; Henrique M. de Oliveira; Gabriel M. Santos; Jhonatan Geremias; Eduardo K. Viegas (IEEE Access, 2025)

A MLOps architecture for near real-time distributed Stream Learning operation deployment. - Miguel G. Rodrigues; Eduardo K. Viegas; Altair O. Santin; Fabrício Enembreck (J. Netw. Comput. Appl., 2025)

An Energy-Efficient Intrusion Detection Offloading Based on DNN for Edge Computing. - João A. Simioni; Eduardo K. Viegas; Altair O. Santin; Everton de Matos (IEEE Internet Things J., 2025)

A Dynamic Network Intrusion Detection Model for Infrastructure as Code Deployed Environments. - Adilson G. Filho; Eduardo K. Viegas; Altair O. Santin; Jhonatan Geremias (J. Netw. Syst. Manag., 2025)