Diego Kreutz

Diego Kreutz

Associate Professor · Federal University of Pampa (UNIPAMPA), Brazil

Cybersecurity  ·  Software-Defined Networking  ·  Distributed Systems  ·  Blockchain  ·  Machine Learning  ·  Artificial Intelligence

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About

Diego Kreutz is an Associate Professor at the Federal University of Pampa (UNIPAMPA), Brazil.

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Labs & Research Groups

Research labs and groups Diego is part of.

AI Horizon Labs

Artificial Intelligence research

Research lab on artificial intelligence, cybersecurity and applied machine learning.

Website LinkedIn News

LEA

UNIPAMPA

Laboratory of Advanced Studies at the Federal University of Pampa (UNIPAMPA).

Website

ETSS

UFAM / IComp

Emerging Technologies and Systems Security group at UFAM, coordinated by Prof. Eduardo Feitosa.

Website

Selected Projects

Funded research and innovation projects.

CYBERGUARD

2025–2028

CNPq Universal · ITA / UNIPAMPA / UFU

Artificial intelligence for cyber threat detection and response.

R$ 150K

GT-IoTEdu

2025–2027

RNP / Softex / MCTI · UNIPAMPA / UFU / UFRGS

Security and advanced management of IoT devices.

R$ 600K Project site

GT-Malware DataLab

2024–2025

RNP / Softex / MCTI (Hackers do Bem) · UNIPAMPA / UFAM / UFRGS

Platform for teaching and experimentation with neural networks for malware data generation.

R$ 227K Project site

GT-LFI: Learn From Incidents

2025

RNP / Softex / MCTI · UFU / UNIPAMPA / UFRGS

Teaching-learning, gamification and classification of cybersecurity incidents.

R$ 227K Project site

GT-Smart AgroRAF

2025

RNP / Softex / MCTI (ILIADA) · UNIPAMPA / IFRS / PUCRS

Smart contracts for traceability in family agriculture.

R$ 112K Project site

FAPERGS PqG

2024–2027

FAPERGS (Pesquisador Gaúcho) · UNIPAMPA

Research grant supporting cybersecurity, distributed systems and artificial intelligence.

R$ 45K Project site

FAPERGS ARC

2024–2026

FAPERGS (Auxílio Recém-Contratado) · UNIPAMPA

Start-up research grant for newly hired faculty in cybersecurity and applied AI.

R$ 35K Project site

Malware Hunter

2021–2025

Motorola · UFAM / UNIPAMPA

Machine learning for large-scale Android malware detection.

R$ 3.5M Project site

Selected Publications

A selection of representative work.

  1. An Experience Report on Artifact Evaluation in Brazilian Conferences ACM SIGCOMM Computer Communication Review, 2026
  2. MH-1M: A 1.34 Million-Sample Multi-Feature Android Malware Dataset with Rich Metadata Scientific Data, 2025
  3. Auth4App: Streamlining authentication for integrated cyber-physical environments Journal of Information Security and Applications, 2024
  4. Android malware detection with MH-100K: An innovative dataset for advanced research Data in Brief, 2023
  5. Analyzing the performance of the inter-blockchain communication protocol IEEE/IFIP DSN, 2023
  6. Analysis of transaction flooding attacks against Monero IEEE ICBC, 2021
  7. ISM-AC: an immune security model based on alert correlation and software-defined networking International Journal of Information Security, 2021
  8. ANCHOR: Logically Centralized Security for Software-Defined Networks ACM Transactions on Privacy and Security, 2019
  9. The KISS Principle in Software-Defined Networking: A Framework for Secure Communications IEEE Security & Privacy, 2018
  10. A cyber-resilient architecture for critical security services Journal of Network and Computer Applications, 2016
  11. Software-Defined Networking: A Comprehensive Survey Proceedings of the IEEE, 2015

Selected Awards

Selected from more than 50 awards and distinctions.