Eduardo Viegas

Proceedings of the Advanced Information Networking and Applications, 2024

2023

Federated learning for reliable model updates in network-based intrusion detection.

[BibT_eX]

[DOI]

Pietro Tedeschi

Comput. Secur., October, 2023

Reinforcement Learning for Intrusion Detection: More Model Longness and Fewer Updates.

[BibT_eX]

[DOI]

Vinicius Vielmo Cogo

IEEE Trans. Netw. Serv. Manag., June, 2023

Toward a Reliable Evaluation of Machine Learning Schemes for Network-Based Intrusion Detection.

[BibT_eX]

[DOI]

Pietro Tedeschi

IEEE Internet Things Mag., June, 2023

Towards a Robust Adversarial Patch Attack Against Unmanned Aerial Vehicles Object Detection.

[BibT_eX]

[DOI]

Samridha Shrestha

Saurabh Pathak

IROS, 2023

Towards a Reliable and Lightweight Onboard Fault Detection in Autonomous Unmanned Aerial Vehicles.

[BibT_eX]

[DOI]

Sai Srinadhu Katta

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

A Generative Adversarial Network-based Attack for Audio-based Condition Monitoring Systems.

[BibT_eX]

[DOI]

Abdul Rahman Ba Nabila

Abdelrahman AlMahmoud

Willian T. Lunardi

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

Towards a Reliable Hierarchical Android Malware Detection Through Image-based CNN.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

A Dynamic Machine Learning Scheme for Reliable Network-Based Intrusion Detection.

[BibT_eX]

[DOI]

Proceedings of the Advanced Information Networking and Applications, 2023

Context-Aware Security in the Internet of Things: A Review.

[BibT_eX]

[DOI]

Proceedings of the Advanced Information Networking and Applications, 2023

2022

Toward feasible machine learning model updates in network-based intrusion detection.

[BibT_eX]

[DOI]

Pedro Horchulhack

Comput. Networks, 2022

A motion-based approach for real-time detection of pornographic content in videos.

[BibT_eX]

[DOI]

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Towards Multi-view Android Malware Detection Through Image-based Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

A Machine Learning-Based Digital Twin Model for Pressure Prediction in the Fuel Injection System.

[BibT_eX]

[DOI]

Edwin P. Duarte

Proceedings of the IECON 2022, 2022

Intrusion Detection Model Updates Through GAN Data Augmentation and Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2022

Detection of Service Provider Hardware Over-commitment in Container Orchestration Environments.

[BibT_eX]

[DOI]

Pedro Horchulhack

Proceedings of the IEEE Global Communications Conference, 2022

A Stream Learning Intrusion Detection System for Concept Drifting Network Traffic.

[BibT_eX]

[DOI]

Pedro Horchulhack

Martin Andreoni Lopez

Proceedings of the 6th Cyber Security in Networking Conference, 2022

2021

Machine Learning Intrusion Detection in Big Data Era: A Multi-Objective Approach for Longer Model Lifespans.

[BibT_eX]

[DOI]

Eduardo Viegas

Vilmar Abreu

IEEE Trans. Netw. Sci. Eng., 2021

Enhancing service maintainability by monitoring and auditing SLA in cloud computing.

[BibT_eX]

[DOI]

Arlindo L. Marcon Jr.

Carlos Maziero

Clust. Comput., 2021

A Deep Autoencoder and RNN Model for Indoor Localization with Variable Propagation Loss.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Wireless and Mobile Computing, 2021

A Multi-View Intrusion Detection Model for Reliable and Autonomous Model Updates.

[BibT_eX]

[DOI]

Rivaldo L. Tomio

Proceedings of the ICC 2021, 2021

A Machine Learning Model for Detection of Docker-based APP Overbooking on Kubernetes.

[BibT_eX]

[DOI]

Allan Espindola

Proceedings of the ICC 2021, 2021

A Reminiscent Intrusion Detection Model Based on Deep Autoencoders and Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

Improving Intrusion Detection Confidence Through a Moving Target Defense Strategy.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

2020

PPCensor: Architecture for real-time pornography detection in video streaming.

[BibT_eX]

[DOI]

Jackson Mallmann

Jhonatan Geremias

Future Gener. Comput. Syst., 2020

A Lightweight Network-based Android Malware Detection System.

[BibT_eX]

[DOI]

Igor Jochem Sanz

Martin Andreoni Lopez

Vinicius Rodrigues Sanches

Proceedings of the 2020 IFIP Networking Conference, 2020

Towards Real-time Video Content Detection in Resource Constrained Devices.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Host-based Intrusion Detection Model Based on OS Diversity for SCADA.

[BibT_eX]

[DOI]

Bruno B. Bulle

Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

A Reliable Semi-Supervised Intrusion Detection Model: One Year of Network Traffic Anomalies.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Facing the Unknown: A Stream Learning Intrusion Detection System for Reliable Model Updates.

[BibT_eX]

[DOI]

Proceedings of the Advanced Information Networking and Applications, 2020

A Long-Lasting Reinforcement Learning Intrusion Detection Model.

[BibT_eX]

[DOI]

Vinicius Vielmo Cogo

Proceedings of the Advanced Information Networking and Applications, 2020

Identity and Access Management for IoT in Smart Grid.

[BibT_eX]

[DOI]

Proceedings of the Advanced Information Networking and Applications, 2020

2019

SDN-based and multitenant-aware resource provisioning mechanism for cloud-based big data streaming.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., 2019

BigFlow: Real-time and reliable anomaly-based intrusion detection for high-speed networks.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2019

Towards Reliable Intrusion Detection in High Speed Networks.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the 37th Brazilian Symposium on Computer Networks and Distributed Systems, 2019

2018

A reliable and energy-efficient classifier combination scheme for intrusion detection in embedded systems.

[BibT_eX]

[DOI]

Comput. Secur., 2018

Enabling Anomaly-based Intrusion Detection Through Model Generalization.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018

A Machine Learning Auditing Model for Detection of Multi-Tenancy Issues Within Tenant Domain.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

2017

Towards an Energy-Efficient Anomaly-Based Intrusion Detection Engine for Embedded Systems.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2017

Toward a reliable anomaly-based intrusion detection in real-world environments.

[BibT_eX]

[DOI]

Eduardo Viegas

Luiz S. Oliveira

Comput. Networks, 2017

Stream learning and anomaly-based intrusion detection in the adversarial settings.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

A multi-domain role activation model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2017

A Resilient Stream Learning Intrusion Detection Mechanism for Real-Time Analysis of Network Traffic.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016

Providing security and privacy in smart house through mobile cloud computing.

[BibT_eX]

[DOI]

Rafael Ribeiro