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ORCIDEduardo Viegas 0001
Person information
- affiliation: Technology Innovation Institute, Abu Dhabi, UAE
- affiliation (former): Pontifical Catholic University of Parana, Curitiba, Parana, Brazil
Other persons with the same name
- Eduardo Viegas 0002
![[0000-0003-2422-0254]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-2422-0254")
— Imperial College London, UK - Eduardo Viegas 0003 — Silicon Laboratories Inc., Austin, TX, USA
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2020 – today
- 2024
[j13]Pedro Horchulhack, Eduardo K. Viegas, Altair O. Santin, Felipe Ramos, Pietro Tedeschi:
Detection of quality of service degradation on multi-tenant containerized services. J. Netw. Comput. Appl. 224: 103839 (2024)- [c36]Juarez Oliveira, Altair O. Santin, Eduardo Viegas, Pedro Horchulhack:
A Non-interactive One-Time Password-Based Method to Enhance the Vault Security. AINA (4) 2024: 201-213 - [c35]Mykaele F. Abreu, Eduardo K. Viegas, Altair O. Santin:
A Review of Social Network Regulations and Mechanisms for Safeguarding Children's Privacy. AINA (5) 2024: 427-438 - [c34]Paulo Roberto de Oliveira, Eduardo K. Viegas, Altair O. Santin, Pedro Horchulhack, Everton de Matos:
Toward a Reliable Network-Based Intrusion Detection Model for SCADA: A Classification with Reject Option Approach. IJCNN 2024: 1-8 - 2023
- [j12]Roger Robson dos Santos, Eduardo K. Viegas, Altair O. Santin, Pietro Tedeschi:
Federated learning for reliable model updates in network-based intrusion detection. Comput. Secur. 133: 103413 (2023) - [j11]Eduardo K. Viegas, Altair O. Santin, Pietro Tedeschi:
Toward a Reliable Evaluation of Machine Learning Schemes for Network-Based Intrusion Detection. IEEE Internet Things Mag. 6(2): 70-75 (2023) - [j10]Roger Robson dos Santos, Eduardo K. Viegas, Altair O. Santin, Vinicius Vielmo Cogo:
Reinforcement Learning for Intrusion Detection: More Model Longness and Fewer Updates. IEEE Trans. Netw. Serv. Manag. 20(2): 2040-2055 (2023) - [c33]Eduardo K. Viegas, Everton de Matos, Paulo Roberto de Oliveira, Altair O. Santin:
A Dynamic Machine Learning Scheme for Reliable Network-Based Intrusion Detection. AINA (2) 2023: 439-451 - [c32]Everton de Matos, Eduardo Viegas, Ramão Tiago Tiburski, Fabiano Hessel:
Context-Aware Security in the Internet of Things: A Review. AINA (3) 2023: 518-531 - [c31]Jhonatan Geremias, Eduardo K. Viegas, Altair O. Santin, Alceu S. Britto Jr., Pedro Horchulhack:
Towards a Reliable Hierarchical Android Malware Detection Through Image-based CNN. CCNC 2023: 242-247 - [c30]Abdul Rahman Ba Nabila, Eduardo K. Viegas, Abdelrahman AlMahmoud, Willian T. Lunardi:
A Generative Adversarial Network-based Attack for Audio-based Condition Monitoring Systems. CCNC 2023: 275-280 - [c29]Sai Srinadhu Katta, Eduardo Kugler Viegas:
Towards a Reliable and Lightweight Onboard Fault Detection in Autonomous Unmanned Aerial Vehicles. ICRA 2023: 1284-1290 - [c28]Samridha Shrestha, Saurabh Pathak, Eduardo K. Viegas:
Towards a Robust Adversarial Patch Attack Against Unmanned Aerial Vehicles Object Detection. IROS 2023: 3256-3263 - [c27]Everton de Matos, Conor Lennon, Eduardo K. Viegas, Markku Ahvenjärvi, Hannu Lyytinen, Ivan Kuznetsov, Joonas Onatsu, Anh Huy Bui:
Integrating VirtIO and QEMU on seL4 for Enhanced Devices Virtualization Support. TrustCom 2023: 1076-1085 - [c26]Paulo Roberto de Oliveira, Altair O. Santin, Pedro Horchulhack, Eduardo K. Viegas, Everton de Matos:
A Dynamic Network-based Intrusion Detection Model for Industrial Control Systems. TrustCom 2023: 1496-1501 - 2022
- [j9]Pedro Horchulhack, Eduardo K. Viegas, Altair O. Santin:
Toward feasible machine learning model updates in network-based intrusion detection. Comput. Networks 202: 108618 (2022) - [c25]Pedro Horchulhack, Eduardo K. Viegas, Martin Andreoni Lopez:
A Stream Learning Intrusion Detection System for Concept Drifting Network Traffic. CSNet 2022: 1-7 - [c24]Pedro Horchulhack, Eduardo K. Viegas, Altair O. Santin, Jhonatan Geremias:
Intrusion Detection Model Updates Through GAN Data Augmentation and Transfer Learning. GLOBECOM 2022: 2668-2673 - [c23]Pedro Horchulhack, Eduardo K. Viegas, Altair O. Santin:
Detection of Service Provider Hardware Over-commitment in Container Orchestration Environments. GLOBECOM 2022: 6354-6359 - [c22]Edwin P. Duarte, Eduardo K. Viegas, Altair O. Santin:
A Machine Learning-Based Digital Twin Model for Pressure Prediction in the Fuel Injection System. IECON 2022: 1-6 - [c21]Jhonatan Geremias, Eduardo K. Viegas, Altair O. Santin, Alceu S. Britto Jr., Pedro Horchulhack:
Towards Multi-view Android Malware Detection Through Image-based Deep Learning. IWCMC 2022: 572-577 - [c20]Jhonatan Geremias, Eduardo K. Viegas, Alceu S. Britto Jr., Altair O. Santin:
A motion-based approach for real-time detection of pornographic content in videos. SAC 2022: 1066-1073 - 2021
- [j8]Eduardo Viegas, Altair O. Santin, Juliana Bachtold, Darlan Segalin, Maicon Stihler, Arlindo L. Marcon Jr., Carlos Maziero:
Enhancing service maintainability by monitoring and auditing SLA in cloud computing. Clust. Comput. 24(3): 1659-1674 (2021) - [j7]Eduardo Viegas, Altair Olivo Santin, Vilmar Abreu:
Machine Learning Intrusion Detection in Big Data Era: A Multi-Objective Approach for Longer Model Lifespans. IEEE Trans. Netw. Sci. Eng. 8(1): 366-376 (2021) - [c19]Roger Robson dos Santos, Eduardo K. Viegas, Altair O. Santin:
Improving Intrusion Detection Confidence Through a Moving Target Defense Strategy. GLOBECOM 2021: 1-6 - [c18]Roger Robson dos Santos, Eduardo K. Viegas, Altair O. Santin:
A Reminiscent Intrusion Detection Model Based on Deep Autoencoders and Transfer Learning. GLOBECOM 2021: 1-6 - [c17]Felipe Ramos, Eduardo K. Viegas, Altair O. Santin, Pedro Horchulhack, Roger Robson dos Santos, Allan Espindola:
A Machine Learning Model for Detection of Docker-based APP Overbooking on Kubernetes. ICC 2021: 1-6 - [c16]Rivaldo L. Tomio, Eduardo K. Viegas, Altair O. Santin, Roger Robson dos Santos:
A Multi-View Intrusion Detection Model for Reliable and Autonomous Model Updates. ICC 2021: 1-6 - [c15]Allan Espindola, Eduardo K. Viegas, Andre Traleski, Marcelo E. Pellenz, Altair O. Santin:
A Deep Autoencoder and RNN Model for Indoor Localization with Variable Propagation Loss. WiMob 2021: 391-396 - 2020
- [j6]Jackson Mallmann, Altair Olivo Santin, Eduardo Kugler Viegas, Roger Robson dos Santos, Jhonatan Geremias:
PPCensor: Architecture for real-time pornography detection in video streaming. Future Gener. Comput. Syst. 112: 945-955 (2020) - [c14]Eduardo K. Viegas, Altair Santin Santin, Vinicius Vielmo Cogo, Vilmar Abreu:
Facing the Unknown: A Stream Learning Intrusion Detection System for Reliable Model Updates. AINA 2020: 898-909 - [c13]Vilmar Abreu, Altair Olivo Santin, Eduardo K. Viegas, Vinicius Vielmo Cogo:
Identity and Access Management for IoT in Smart Grid. AINA 2020: 1215-1226 - [c12]Roger Robson dos Santos, Eduardo Kugler Viegas, Altair O. Santin, Vinicius Vielmo Cogo:
A Long-Lasting Reinforcement Learning Intrusion Detection Model. AINA 2020: 1437-1448 - [c11]Eduardo K. Viegas, Altair Olivo Santin, Vinicius Vielmo Cogo, Vilmar Abreu:
A Reliable Semi-Supervised Intrusion Detection Model: One Year of Network Traffic Anomalies. ICC 2020: 1-6 - [c10]Bruno B. Bulle, Altair O. Santin, Eduardo K. Viegas, Roger Robson dos Santos:
A Host-based Intrusion Detection Model Based on OS Diversity for SCADA. IECON 2020: 691-696 - [c9]Jhonatan Geremias, Altair O. Santin, Eduardo K. Viegas, Alceu S. Britto Jr.:
Towards Real-time Video Content Detection in Resource Constrained Devices. IJCNN 2020: 1-8 - [c8]Igor Jochem Sanz, Martin Andreoni Lopez, Eduardo Kugler Viegas, Vinicius Rodrigues Sanches:
A Lightweight Network-based Android Malware Detection System. Networking 2020: 695-703
2010 – 2019
- 2019
- [j5]Eduardo Viegas, Altair Olivo Santin, Alysson Bessani, Nuno Neves:
BigFlow: Real-time and reliable anomaly-based intrusion detection for high-speed networks. Future Gener. Comput. Syst. 93: 473-485 (2019) - [j4]Cleverton Vicentini, Altair Olivo Santin, Eduardo Viegas, Vilmar Abreu:
SDN-based and multitenant-aware resource provisioning mechanism for cloud-based big data streaming. J. Netw. Comput. Appl. 126: 133-149 (2019) - [c7]Eduardo K. Viegas, Altair O. Santin:
Towards Reliable Intrusion Detection in High Speed Networks. SBRC Companion 2019: 169-176 - 2018
- [j3]Eduardo Viegas, Altair Olivo Santin, Luiz Oliveira, André França, Ricardo P. Jasinski, Volnei A. Pedroni:
A reliable and energy-efficient classifier combination scheme for intrusion detection in embedded systems. Comput. Secur. 78: 16-32 (2018) - [c6]Cleverton Vicentini, Altair Olivo Santin, Eduardo Viegas, Vilmar Abreu:
A Machine Learning Auditing Model for Detection of Multi-Tenancy Issues Within Tenant Domain. CCGrid 2018: 543-552 - [c5]Eduardo Viegas, Altair Olivo Santin, Vilmar Abreu, Luiz S. Oliveira:
Enabling Anomaly-based Intrusion Detection Through Model Generalization. ISCC 2018: 934-939 - 2017
- [j2]Eduardo Viegas, Altair Olivo Santin, Luiz S. Oliveira:
Toward a reliable anomaly-based intrusion detection in real-world environments. Comput. Networks 127: 200-216 (2017) - [j1]Eduardo Viegas, Altair Olivo Santin, André França, Ricardo P. Jasinski, Volnei A. Pedroni, Luiz S. Oliveira:
Towards an Energy-Efficient Anomaly-Based Intrusion Detection Engine for Embedded Systems. IEEE Trans. Computers 66(1): 163-177 (2017) - [c4]Eduardo Viegas, Altair Olivo Santin, Nuno Ferreira Neves, Alysson Bessani, Vilmar Abreu:
A Resilient Stream Learning Intrusion Detection Mechanism for Real-Time Analysis of Network Traffic. GLOBECOM 2017: 1-6 - [c3]Vilmar Abreu, Altair Olivo Santin, Eduardo Viegas, Maicon Stihler:
A multi-domain role activation model. ICC 2017: 1-6 - [c2]Eduardo Viegas, Altair Olivo Santin, Vilmar Abreu, Luiz S. Oliveira:
Stream learning and anomaly-based intrusion detection in the adversarial settings. ISCC 2017: 773-778 - 2016
- [c1]Rafael Ribeiro, Altair Olivo Santin, Vilmar Abreu, João Eugenio Marynowski, Eduardo Viegas:
Providing security and privacy in smart house through mobile cloud computing. LATINCOM 2016: 1-6
Coauthor Index
aka: Altair O. Santin
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