13 papers
NetSecBed: A Container-Native Testbed for Reproducible Cybersecurity Experimentation
Leonardo Bitzki, Diego Kreutz, Tiago Heinrich +4
Cybersecurity research increasingly depends on reproducible evidence, such as traffic traces, logs, and labeled datasets, yet most public datasets remain static and offer limited s…
IoTEdu: Access Control, Detection, and Automatic Incident Response in Academic IoT Networks
Joner Assolin, Diego Kreutz, Leandro Bertholdo
The growing presence of IoT devices in academic environments has increased operational complexity and exposed security weaknesses, especially in academic institutions without unifi…
A Taxonomy of Pix Fraud in Brazil: Attack Methodologies, AI-Driven Amplification, and Defensive Strategies
Glener Lanes Pizzolato, Brenda Medeiros Lopes, Claudio Schepke +1
This work presents a review of attack methodologies targeting Pix, the instant payment system launched by the Central Bank of Brazil in 2020. The study aims to identify and classif…
Synthetic Data: AI's New Weapon Against Android Malware
Angelo Gaspar Diniz Nogueira, Kayua Oleques Paim, Hendrio Bragança +2
The ever-increasing number of Android devices and the accelerated evolution of malware, reaching over 35 million samples by 2024, highlight the critical importance of effective det…
Temperature in SLMs: Impact on Incident Categorization in On-Premises Environments
Marcio Pohlmann, Alex Severo, Gefté Almeida +3
SOCs and CSIRTs face increasing pressure to automate incident categorization, yet the use of cloud-based LLMs introduces costs, latency, and confidentiality risks. We investigate w…
Reducing Instability in Synthetic Data Evaluation with a Super-Metric in MalDataGen
Anna Luiza Gomes da Silva, Diego Kreutz, Angelo Diniz +2
Evaluating the quality of synthetic data remains a persistent challenge in the Android malware domain due to instability and the lack of standardization among existing metrics. Thi…