Eduardo Viegas
Orcid: 0000-0002-5050-6363Affiliations:
- Technology Innovation Institute, Abu Dhabi, UAE
- Pontifical Catholic University of Parana, Curitiba, Parana, Brazil (former)
According to our database1,
Eduardo Viegas
authored at least 50 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
J. Netw. Comput. Appl., 2024
Proceedings of the International Wireless Communications and Mobile Computing, 2024
Toward a Reliable Network-Based Intrusion Detection Model for SCADA: A Classification with Reject Option Approach.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the Advanced Information Networking and Applications, 2024
A Review of Social Network Regulations and Mechanisms for Safeguarding Children's Privacy.
Proceedings of the Advanced Information Networking and Applications, 2024
2023
Comput. Secur., October, 2023
Reinforcement Learning for Intrusion Detection: More Model Longness and Fewer Updates.
IEEE Trans. Netw. Serv. Manag., June, 2023
Toward a Reliable Evaluation of Machine Learning Schemes for Network-Based Intrusion Detection.
IEEE Internet Things Mag., June, 2023
Proceedings of the 22nd IEEE International Conference on Trust, 2023
Proceedings of the 22nd IEEE International Conference on Trust, 2023
Towards a Robust Adversarial Patch Attack Against Unmanned Aerial Vehicles Object Detection.
IROS, 2023
Towards a Reliable and Lightweight Onboard Fault Detection in Autonomous Unmanned Aerial Vehicles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
A Generative Adversarial Network-based Attack for Audio-based Condition Monitoring Systems.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023
Proceedings of the Advanced Information Networking and Applications, 2023
Proceedings of the Advanced Information Networking and Applications, 2023
2022
Comput. Networks, 2022
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
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.
Proceedings of the IECON 2022, 2022
Intrusion Detection Model Updates Through GAN Data Augmentation and Transfer Learning.
Proceedings of the IEEE Global Communications Conference, 2022
Detection of Service Provider Hardware Over-commitment in Container Orchestration Environments.
Proceedings of the IEEE Global Communications Conference, 2022
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.
IEEE Trans. Netw. Sci. Eng., 2021
Clust. Comput., 2021
A Deep Autoencoder and RNN Model for Indoor Localization with Variable Propagation Loss.
Proceedings of the 17th International Conference on Wireless and Mobile Computing, 2021
Proceedings of the ICC 2021, 2021
A Machine Learning Model for Detection of Docker-based APP Overbooking on Kubernetes.
Proceedings of the ICC 2021, 2021
A Reminiscent Intrusion Detection Model Based on Deep Autoencoders and Transfer Learning.
Proceedings of the IEEE Global Communications Conference, 2021
Proceedings of the IEEE Global Communications Conference, 2021
2020
Future Gener. Comput. Syst., 2020
Proceedings of the 2020 IFIP Networking Conference, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
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.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Facing the Unknown: A Stream Learning Intrusion Detection System for Reliable Model Updates.
Proceedings of the Advanced Information Networking and Applications, 2020
Proceedings of the Advanced Information Networking and Applications, 2020
Proceedings of the Advanced Information Networking and Applications, 2020
2019
SDN-based and multitenant-aware resource provisioning mechanism for cloud-based big data streaming.
J. Netw. Comput. Appl., 2019
BigFlow: Real-time and reliable anomaly-based intrusion detection for high-speed networks.
Future Gener. Comput. Syst., 2019
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.
Comput. Secur., 2018
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.
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018
2017
Towards an Energy-Efficient Anomaly-Based Intrusion Detection Engine for Embedded Systems.
IEEE Trans. Computers, 2017
Comput. Networks, 2017
Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017
Proceedings of the IEEE International Conference on Communications, 2017
A Resilient Stream Learning Intrusion Detection Mechanism for Real-Time Analysis of Network Traffic.
Proceedings of the 2017 IEEE Global Communications Conference, 2017
2016
Proceedings of the 8th IEEE Latin-American Conference on Communications, 2016