Cybersecurity; Data Privacy; Adversarial Attacks; Federated Learning; Internet-of-Things; Green IoT communication; Game Theory.
Publications
Peer-Reviewed Journals (TOTAL: 11)
[SUBMITTED] Júlio Oliveira, Yuri Santo, André Riker, Eirini Tsiropoulou, Glaucio H. S. Carvalho. "Privacy-Aware Edge AIoT for Energy Management of Residential Areas: A Federated Decision Tree Approach". Computing Journal (Springer).
■ 2025
Yuri Santo, Antônio Abelém, André Riker, Eirini Tsiropoulou. "Smart Cities with Partial Sustainable IoT Networks and Enhanced Data Privacy". IEEE Access Journal. (2025) [Impact Factor: 3.6]
■ 2023
Yuri Santo, Bruno Dalmazo, Roger Immich, André Riker. "Fault Detection on the Edge and Adaptive Communication for State of Alert in Industrial Internet of Things". Sensors, v. 23, n. 7, p. 3544, (2023). [Impact Factor: 3.9]
■ 2022
Riker, André, Renato Mota, Denis Rosário, Vasco Pereira and Marilia Curado. "Autonomic Management of Group Communication for Internet-of-Things Applications" International Journal on Communication Systems (2022). [Impact Factor: 2.1]
■ 2021
Silva, Marco, André Riker, Joel Torrado, José Santos, and Marilia Curado. "Extending Energy Neutral Operation in Internet-of-Things." IEEE Internet of Things Journal (2021). [Impact Factor: 10.6]
Rodrigues, Lucas, André Riker, Maria Ribeiro, Cristiano Both, Filipe Sousa, Waldir Moreira, Kleber Cardoso, and Antonio Oliveira-Jr. "Flight Planning Optimization of Multiple UAVs for Internet of Things." Sensors 21, no. 22 (2021): 7735. [Impact Factor: 3.9]
■ 2020
Junior, Sidnei, André Riker, Bruno Silvestre, Waldir Moreira, Antonio Oliveira-Jr, and Vinicius Borges. "Dynasti—dynamic multiple rpl instances for multiple iot applications in smart city." Sensors 20, no. 11 (2020): 3130. [Impact Factor: 3.9]
■ 2018
Riker, André, Carlos M. Fonseca, Marilia Curado, and Edmundo Monteiro. "Energy-efficient multigroup communication." Transactions on Emerging Telecommunications Technologies 29, no. 3 (2018): e3232. [Impact Factor: 3.6]
■ 2015
Riker, André, Eduardo Cerqueira, Marilia Curado, and Edmundo Monteiro. "A two-tier adaptive data aggregation approach for m2m group-communication." IEEE Sensors Journal 16, no. 3 (2015): 823-835. [Impact Factor: 4.3]
■ 2014
Aguiar, Elisangela, André Riker, Eduardo Cerqueira, Antônio Abelém, Mu Mu, Torsten Braun, Marilia Curado, and Sherali Zeadally. "A real-time video quality estimator for emerging wireless multimedia systems." Wireless Networks 20, no. 7 (2014): 1759-1776. [Impact Factor: 3.0]
■ 2013
Rosário, Denis, Eduardo Cerqueira, Augusto Neto, Andre Riker, Roger Immich, and Marilia Curado. "A QoE handover architecture for converged heterogeneous wireless networks." Wireless networks 19, no. 8 (2013): 2005-2020. [Impact Factor: 3.0]
Conferences (TOTAL: 26)
■ 2025
Cleber Reais, Eduardo Lourenço, Reginaldo Santos, André Riker (2025). "Powering Honeypots with Generative AI". In CAMAD 2025 IEEE 30th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). IEEE.
Desiree Costa, Luiz Leite, André Riker, Eirini Eleni Tsiropoulou (2025). "Federated Learning Attack: Fast Image Leakage from Gradients". In CAMAD 2025 IEEE 30th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). IEEE.
Lucas Barbosa, Yuri Santo, Julio Oliveira, Carlos A. Astudillo, Weverton Luis da Costa Cordeiro, André Riker, Glaucio Carvalho (2025). "Federated Learning of Decision Trees in Cooperative IoT Edge Computing". In ISCC 2025 IEEE Symposium on Computers and Communications. IEEE.
Abreu Quevedo, Denner Ayres, Graçaliz Dimuro, André Riker, Giancarlo Lucca, Bruno L. Dalmazo (2025). "Optimizing Big Data Traffic Prediction Using Generalizations of Choquet Integral with Adaptive Weighting". In ICC 2025 IEEE IEEE International Conference on Communications. IEEE.
Alves, V. B., Basso, M., Ramos, L. B., Guillemot, J., Riker, A., Abelém, A., Cordeiro, W. (2025). "Towards programmable low-end networking: Research challenges and lessons learned". In NOMS 2025 IEEE Network Operations and Management Symposium (pp. 01-09). IEEE.
■ 2024
Emerick, Pedro Henrique Rodrigues, et al. "Enhancing Privacy in Healthcare: A Multilevel Approach to (Pseudo) Anonymization." 2024 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2024.
■ 2023
Nascimento, Adiel, et al. "AID-SDN: Advanced Intelligent Defense for SDN Using P4 and Machine Learning." 2023 IEEE Latin-American Conference on Communications (LATINCOM). IEEE, 2023.
■ 2022
Santo, Yuri, et al. "On the Performance of Machine Learning at the Network Edge to Detect Industrial IoT Faults." 2022 IEEE 21st International Symposium on Network Computing and Applications (NCA). Vol. 21. IEEE, 2022.
Neves, Michel, et al. "Modularized and Contract-Based Prediction Models in Programmable Networks." 2022 IEEE 21st International Symposium on Network Computing and Applications (NCA). Vol. 21. IEEE, 2022.
Barbosa, Lucas, et al. "Deconn: Combining minimum and neutral energy consumption strategies in iot networks." 2022 14th IFIP Wireless and Mobile Networking Conference (WMNC). IEEE, 2022.
■ 2021
Pinto, Lucas William Paz, et al. "HTTP-DTNSec: An HTTP-Based Security Extension for Delay/Disruption Tolerant Networking." International Conference on Computational Science and Its Applications. Springer, Cham, 2021.
Melo, Yuri, et al. "Health Systems with Resilient Reporting based on Internet-of-Things." 2021 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2021.
■ 2020
Santos, Marlon, et al. "An Online Quantitative Measure of Density for Low-Power IoT Networks." 2020 IEEE SENSORS. IEEE, 2020.
Moraes, Jean, et al. "An efficient heuristic LoRaWAN adaptive resource allocation for IoT applications." 2020 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2020.
■ 2019
Riker, André, et al. "Towards High Energy Efficiency in the Internet of Things." 2019 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2019.
■ 2017
Riker, André, Marilia Curado, and Edmundo Monteiro. "Neutral operation of the minimum energy node in energy-harvesting environments." 2017 IEEE symposium on computers and communications (ISCC). IEEE, 2017.
■ 2015
Riker, André, et al. "Data aggregation for machine-to-machine communication with energy harvesting." 2015 IEEE International Workshop on Measurements \& Networking (M&N). IEEE, 2015.
■ 2014
Riker, André, et al. "Data aggregation for group communication in machine-to-machine environments." 2014 IFIP Wireless Days (WD). IEEE, 2014.
Riker, André, et al. "Efficient and secure M2M communications for smart metering." Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). IEEE, 2014.
■ 2013
Quadros, Carlos, et al. "A quality of experience handover system for heterogeneous multimedia wireless networks." 2013 International Conference on Computing, Networking and Communications (ICNC). IEEE, 2013.
■ 2013
Quadros, Carlos, et al. "A mobile qoe architecture for heterogeneous multimedia wireless networks." 2012 IEEE Globecom Workshops. IEEE, 2012.
■ 2012
Cerqueira, Eduardo, et al. "A parametric qoe video quality estimator for wireless networks." 2012 IEEE Globecom Workshops. IEEE, 2012.
Jean, Carlos, et al. "QoE-based packet drop control for 3D-video streaming over wireless networks." Proceedings of the 7th Latin American Networking Conference. 2012.
Aguiar, Elisangela, et al. "Video quality estimator for wireless mesh networks." 2012 IEEE 20th International Workshop on Quality of Service. IEEE, 2012.
Aguiar, Elisangela, et al. "Real-time QoE prediction for multimedia applications in wireless mesh networks." 2012 IEEE Consumer Communications and Networking Conference (CCNC). IEEE, 2012.
■ 2011
Riker, André, et al. "ETXMULT: A routing metric for multimedia applications in wireless mesh networks." 2011 IEEE Third Latin-American Conference on Communications. IEEE, 2011.
Preprint (TOTAL: 3)
Oliveira, Julio, et al. "Towards Explainable Federated Learning: Understanding the Impact of Differential Privacy." arXiv preprint https://arxiv.org/abs/2602.10100 (2026).
Leite, Luiz, et al. "Federated Learning under Attack: Improving Gradient Inversion for Batch of Images." arXiv preprint arXiv:2409.17767 (2024).
Mundstock, Iuri A., et al. "On Feature Selection Techniques for Detecting DoS Attacks with a Multi-class Classifier." (2024).