Publications

2025

Barboza, E. V., de Almeida, P. R. L., de Souza Britto Jr, A., Sabourin, R., & Cruz, R. M. (2025). IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online Kd tree neighborhood search for data streams with concept drift. Information Fusion, 103272.

2024

Pimenta, T. S. R., Ceschin, F., & Gregio, A. (2024). Androidgyny: Reviewing clustering techniques for Android malware family classification. Digital Threats: Research and Practice, 5(1), 1-35.

Ceschin, F., Botacin, M., Bifet, A., Pfahringer, B., Oliveira, L. S., Gomes, H. M., & Grégio, A. (2024). Machine learning (in) security: A stream of problems. Digital Threats: Research and Practice, 5(1), 1-32.

Rodrigues, L. A., Freitas, A. E. S., Duarte Jr, E. P., & Fulber-Garcia, V. (2024). A hierarchical adaptive leader election algorithm for crash-recovery distributed systems. In Proceedings of the 13th Latin-American Symposium on Dependable and Secure Computing (pp. 136-145).

Venâncio, G., Fulber-Garcia, V., Flauzino, J., Alchieri, E. A., & Duarte, E. P. (2024). Dependable virtual network services: An architecture for fault-and intrusion-tolerant sfcs. In 2024 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) (pp. 1-6). IEEE.

Fulber-Garcia, V., Flauzino, J., Venâncio, G., Huff, A., & Junior, E. P. D. (2024). Breaking the limits: Bio-inspired sfc deployment across multiple domains, clouds and orchestrators. In 2024 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) (pp. 1-6). IEEE.

Frasão, A., Heinrich, T., Fulber-Garcia, V., Will, N. C., Obelheiro, R. R., & Maziero, C. A. (2024). I See Syscalls by the Seashore: An Anomaly-based IDS for Containers Leveraging Sysdig Data. In 2024 IEEE Symposium on Computers and Communications (ISCC) (pp. 1-6). IEEE.

Fulber-Garcia, V., Engel, F., & Duarte, E. P. (2024). A genetic scheduling strategy with spatial reuse for dense wireless networks. International Journal of Hybrid Intelligent Systems, 20(1), 41-55.

Dal Pontte, B., do Carmo Frasão, A. A., Pereira, M. V. R., Heinrich, T., & Fulber-Garcia, V. (2024). TeamUFPR at ABSAPT 2024: Improving Sentiment Polarity Classification with Data Augmentation using ChatGPT.

2023

Giovanini, L., Gilda, S., Silva, M., Ceschin, F., Shrestha, P., Brant, C., … & Oliveira, D. (2023). People still care about facts: Twitter users engage more with factual discourse than misinformation. In International Symposium on Security and Privacy in Social Networks and Big Data (pp. 3-22). Singapore: Springer Nature Singapore.

Ceschin, F., Botacin, M., Gomes, H. M., Pinagé, F., Oliveira, L. S., & Grégio, A. (2023). Fast & furious: On the modelling of malware detection as an evolving data stream. Expert Systems with Applications, 212, 118590.

Gomes, D. L. P., Grégio, A., Alves, M. A. Z., & de Almeida, P. R. L. (2023). Efficient Prequential AUC-PR Computation. In 2023 International Conference on Machine Learning and Applications (ICMLA) (pp. 2222-2227). IEEE.

Hochuli, A. G., Barddal, J. P., Palhano, G. C., Mendes, L. M., & de Almeida, P. R. L. (2023). Deep single models vs. ensembles: Insights for a fast deployment of parking monitoring systems. In 2023 International Conference on Machine Learning and Applications (ICMLA) (pp. 1379-1384). IEEE.

de Almeida, P. R. L., Alves, J. H., Oliveira, L. S., Hochuli, A. G., Fröhlich, J. V., & Krauel, R. A. (2023). Vehicle occurrence-based parking space detection. In 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 1524-1529). IEEE.

Barboza, E. V., de Almeida, P. R. L., de Souza Britto, A., & Cruz, R. M. (2023). Distance functions and normalization under stream scenarios. In 2023 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.

Fulber-Garcia, V., Flauzino, J., Dos Santos, C. R., & Duarte, E. P. (2023). An ETSI-compliant Architecture for the Element Management System: The Key for Holistic NFV Management. In 2023 19th International Conference on Network and Service Management (CNSM) (pp. 1-9). IEEE.

Fulber-Garcia, V., Luizelli, M. C., dos Santos, C. R. P., Spinosa, E. J., & Duarte Jr, E. P. (2023). Customizable mapping of virtualized network services in multi-datacenter environments based on genetic metaheuristics. Journal of Network and Systems Management, 31(4), 71.

2022

Giovanini, Luiz; Ceschin, Fabrício; Silva, Mirela; Chen, Aokun; Kulkarni, Ramchandra; Banda, Sanjay; Lysaght, Madison; Qiao, Heng; Sapountzis, Nikolaos; Sun, Ruimin; Matthews, Brandon; Wu, Dapeng Oliver; Grégio, André; Oliveira, Daniela. (2022). Online Binary Models are Promising for Distinguishing Temporally Consistent Computer Usage Profiles. Journal Article, IEEE Transactions on Biometrics, Behavior, and Identity Science, pp. 1-1.

Botacin, Marcus; Moreira, Francis B; Navaux, Philippe O A; Grégio, André; Alves, Marco A Z. (2022). Terminator: A Secure Coprocessor to Accelerate Real-Time AntiViruses Using Inspection Breakpoints. Journal Article, ACM Trans. Priv. Secur., 25 (2), ISSN: 2471-2566.

Botacin, Marcus; Alves, Marco Zanata; Oliveira, Daniela; Grégio, André. (2022). HEAVEN: A Hardware-Enhanced AntiVirus ENgine to accelerate real-time, signature-based malware detection. Journal Article, Expert Systems with Applications, pp. 117083, ISSN: 0957-4174.

Botacin, Marcus; Grégio, André. (2022). Why We Need a Theory of Maliciousness: Hardware Performance Counters in Security. Inproceedings, Susilo, Willy; Chen, Xiaofeng; Guo, Fuchun; Zhang, Yudi; Intan, Rolly (Ed.): Information Security, pp. 381–389, Springer International Publishing, Cham, ISBN: 978-3-031-22390-7.

Botacin, Marcus; Grégio, André. (2022). Dissecting Applications Uninstallers and Removers: Are They Effective?. Inproceedings, Susilo, Willy; Chen, Xiaofeng; Guo, Fuchun; Zhang, Yudi; Intan, Rolly (Ed.): Information Security, pp. 339–359, Springer International Publishing, Cham, ISBN: 978-3-031-22390-7.

2021

Botacin, Marcus; Aghakhani, Hojjat; Ortolani, Stefano; Kruegel, Christopher; Vigna, Giovanni; Oliveira, Daniela; Geus, Paulo Lício De; Grégio, André. (2021). One Size Does Not Fit All: A Longitudinal Analysis of Brazilian Financial Malware. Journal Article, ACM Trans. Priv. Secur., 24 (2), ISSN: 2471-2566.

Botacin, Marcus; Ceschin, Fabricio; Sun, Ruimin; Oliveira, Daniela; Grégio, André. (2021). Challenges and Pitfalls in Malware Research. Journal Article, Computers & Security, pp. 102287, ISSN: 0167-4048.

Botacin, Marcus; Moia, Vitor Hugo Galhardo; Ceschin, Fabricio; Henriques, Marco Amaral A; Grégio, André. (2021). Understanding uses and misuses of similarity hashing functions for malware detection and family clustering in actual scenarios. Journal Article, Forensic Science International: Digital Investigation, 38, pp. 301220, ISSN: 2666-2817.

Botacin, Marcus; Domingues, Felipe Duarte; Ceschin, Fabrício; Machnicki, Raphael; Alves, Marco Antonio Zanata; de Geus, Paulo Lício; Grégio, André. (2021). AntiViruses under the Microscope: A Hands-On Perspective. Journal Article, Computers & Security, pp. 102500, ISSN: 0167-4048.

2020

Ceschin, Fabricio; Botacin, Marcus; Lüders, Gabriel; Gomes, Heitor Murilo; Oliveira, Luiz; Gregio, Andre. (2020). No Need to Teach New Tricks to Old Malware: Winning an Evasion Challenge with XOR-Based Adversarial Samples. Inproceedings, Reversing and Offensive-Oriented Trends Symposium, pp. 13–22, Association for Computing Machinery, Vienna, Austria, ISBN: 9781450389747.

Botacin, Marcus; Ceschin, Fabricio; de Geus, Paulo; Grégio, André. (2020). We Need to Talk About AntiViruses: Challenges & Pitfalls of AV Evaluations. Journal Article, Computers & Security, pp. 101859, ISSN: 0167-4048.

Botacin, Marcus; de Geus, Paulo Lício; Grégio, André. (2020). Leveraging branch traces to understand kernel internals from within. Journal Article, Journal of Computer Virology and Hacking Techniques, ISSN: 2263-8733.

Botacin, Marcus; Zanata, Marco; Grégio, André. (2020). The self modifying code (SMC)-aware processor (SAP): a security look on architectural impact and support. Journal Article, Journal of Computer Virology and Hacking Techniques, ISSN: 2263-8733.

Sun, R; Botacin, M; Sapountzis, N; Yuan, X; Bishop, M; Porter, D E; Li, X; Gregio, A; Oliveira, D. (2020). A Praise for Defensive Programming: LeveragingUncertainty for Effective Malware Mitigation. Journal Article, IEEE Transactions on Dependable and Secure Computing, pp. 1-1.

Botacin, Marcus; Bertão, Giovanni; de Geus, Paulo; Grégio, André; Kruegel, Christopher; Vigna, Giovanni. (2020). On the Security of Application Installers and Online Software Repositories. Conference, Detection of Intrusions and Malware, and Vulnerability Assessment, Springer International Publishing, Cham, ISBN: 978-3-030-52683-2.

Botacin, Marcus; Grégio, André; Alves, Marco Antonio Zanata. (2020). Near-Memory & In-Memory Detection of Fileless Malware. Inproceedings, The International Symposium on Memory Systems, pp. 23–38, Association for Computing Machinery, Washington, DC, USA, ISBN: 9781450388993.

2019

Botacin, Marcus; Galante, Lucas; de Geus, Paulo; Grégio, André. (2019). RevEngE is a Dish Served Cold: Debug-Oriented Malware Decompilation and Reassembly. Inproceedings, Proceedings of the 3rd Reversing and Offensive-Oriented Trends Symposium, Association for Computing Machinery, Vienna, Austria, ISBN: 9781450377751.

Ceschin, Fabrício; Botacin, Marcus; Gomes, Heitor Murilo; Oliveira, Luiz S; Grégio, André. (2019). Shallow Security: On the Creation of Adversarial Variants to Evade Machine Learning-Based Malware Detectors. Inproceedings, Proceedings of the 3rd Reversing and Offensive-Oriented Trends Symposium, Association for Computing Machinery, Vienna, Austria, ISBN: 9781450377751.

Botacin, Marcus; de Geus, Paulo Lício; Grégio, André. (2019). ``VANILLA’’ malware: vanishing antiviruses by interleaving layers and layers of attacks. Journal Article, Journal of Computer Virology and Hacking Techniques, ISSN: 2263-8733.

Botacin, Marcus; Galante, Lucas; Ceschin, Fabricio; Santos, Luigi Carro Paulo Cesar; de Geus, Paulo Licio; Gregio, Andre; Zanata, Marco. (2019). The AV says: Your hardware definitions were updated!. Conference, 14th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC 2019), IEEE, ISBN: 978-1-7281-4770-3.

Botacin, Marcus; Kalysch, Anatoli; Grégio, André. (2019). The Internet Banking [in]Security Spiral: Past, Present, and Future of Online Banking Protection Mechanisms Based on a Brazilian Case Study. Inproceedings, Proceedings of the 14th International Conference on Availability, Reliability and Security, pp. 49:1–49:10, ACM, Canterbury, CA, United Kingdom, ISBN: 978-1-4503-7164-3.

Beppler, Tamy; Botacin, Marcus; Ceschin, Fabrício; Oliveira, Luiz E S; Grégio, André. (2019). L(a)ying in (Test)Bed: How Biased Datasets Produce Impractical Results for Actual Malware Families’ Classification. Inproceedings, Lin, Zhiqiang; Papamanthou, Charalampos; Polychronakis, Michalis (Ed.): Information Security, pp. 381–401, Springer International Publishing, Cham, ISBN: 978-3-030-30215-3.

2018

Ceschin, Fabrício; Pinage, Felipe; Castilho, Marcos; Menotti, David; Oliveira, Luis S; Gregio, André. (2018). The Need for Speed: An Analysis of Brazilian Malware Classifiers. Journal Article, IEEE Security Privacy, 16 (6), pp. 31-41, ISSN: 1540-7993.

Botacin, Marcus; de Geus, Paulo Lício; Grégio, André. (2018). The other guys: automated analysis of marginalized malware. Journal Article, Journal of Computer Virology and Hacking Techniques, 14 (1), pp. 87–98, ISSN: 2263-8733.

Botacin, Marcus; Geus, Paulo Lício De; Grégio, André. (2018). Who Watches the Watchmen: A Security-focused Review on Current State-of-the-art Techniques, Tools, and Methods for Systems and Binary Analysis on Modern Platforms. Journal Article, ACM Comput. Surv., 51 (4), pp. 69:1–69:34, ISSN: 0360-0300.

Botacin, Marcus; Geus, Paulo Lício De; Grégio, André. (2018). Enhancing Branch Monitoring for Security Purposes: From Control Flow Integrity to Malware Analysis and Debugging. Journal Article, ACM Trans. Priv. Secur., 21 (1), pp. 4:1–4:30, ISSN: 2471-2566.

Afonso, Vitor; Kalysch, Anatoli; Müller, Tilo; Oliveira, Daniela; Grégio, André; de Geus, Paulo Lício. (2018). Lumus: Dynamically Uncovering Evasive Android Applications. Inproceedings, Chen, Liqun; Manulis, Mark; Schneider, Steve (Ed.): Information Security, pp. 47–66, Springer International Publishing, Cham, ISBN: 978-3-319-99136-8.

2017

Sun, R; Yuan, X; Lee, A; Bishop, M; Porter, D E; Li, X; Grégio, André; Oliveira, Daniela. (2017). The dose makes the poison — Leveraging uncertainty for effective malware detection. Inproceedings, 2017 IEEE Conference on Dependable and Secure Computing, pp. 123-130.