Dr. Stefano Galantucci | Cybersecurity | Best Researcher Award

Adjunct Professor (Lecturer) at University of Bari Aldo Moro, Italy

Dr. Stefano Galantucci is a cybersecurity researcher and academic affiliated with the University of Bari Aldo Moro, Italy. Born on October 28, 1996, he holds a Ph.D. in Computer Science and specializes in network security, cryptography, malware detection, and firewall optimization. With extensive experience in teaching, research, and publication, Dr. Galantucci is an active contributor to both academic and applied cybersecurity communities.

Publication Profile 

Scopus

Orcid

Educational Background

• 2024 – Ph.D. in Computer Science,
  University of Bari Aldo Moro
  – XXXVIth cycle, focus on cybersecurity and computer science research.

• 2020 – Master’s Degree (MSc) in Cybersecurity,
  University of Bari “Aldo Moro”
  – Graduated cum laude with honors and special mention by the commission.

• 2018 – Bachelor’s Degree (BSc) in Computer Science,
  University of Bari “Aldo Moro”
  – Graduated cum laude.

Professional Experience

• 2024–Present – Research Fellow,
  University of Bari Aldo Moro
  – Working on the FAIR project.

• 2023–Present – Examination Board Member,
  University of Bari Aldo Moro
  – Courses: Biometric Systems, Application Security, Computer Architecture & OS.

• 2023 – Adjunct Professor (CyberChallenge Course),
  University of Bari Aldo Moro
  – Taught Cryptography and Hardware Security (24 hours, 2 ECTS).

• 2022–Present – Adjunct Professor of Cryptography,
  MSc in Cybersecurity, University of Bari Aldo Moro
  – 6 ECTS (62 hours).

• 2021–Present – Member, ISLab Research Group,
  University of Bari Aldo Moro
  – Cybersecurity contact person.

Research Interests

• Cryptography and hardware security

• Malware detection and classification

• Network intrusion detection (NIDS)

• Firewall policy optimization

• Anomaly detection and AI-driven threat detection

• DevSecOps and secure software development practices

• Blockchain analysis

• Adversarial neural networks in security (e.g., GANs)

Awards and Honors

• Special mention by the MSc degree commission (2020)

• Full marks and honors in both MSc and BSc degrees

Conclusion

Dr. Stefano Galantucci is a dynamic and accomplished researcher in the field of cybersecurity, with a strong academic background, diverse teaching experience, and a rich portfolio of high-impact publications. His work bridges theoretical foundations and real-world applications, particularly in cryptography, malware detection, and network defense systems. A respected member of the research community, Dr. Galantucci actively contributes to scientific progress through both his scholarly output and his involvement in peer review for top-tier journals. With his growing influence and commitment to innovation, he stands out as a promising leader in the evolving landscape of cybersecurity research.

Publications

• CARIOCA: Prioritizing the Use of IoC by Threats Assessment Shared on the MISP Platform
  International Journal of Information Security, 2025-04
  [DOI: 10.1007/s10207-025-01006-2]
  Piero Delvecchio, Stefano Galantucci, Andrea Iannacone, Giuseppe Pirlo

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• FOBICS: Assessing Project Security Level through a Metrics Framework that Evaluates DevSecOps Performance
  Information and Software Technology, 2025-02
  [DOI: 10.1016/j.infsof.2024.107605]
  Alessandro Caniglia, Vincenzo Dentamaro, Stefano Galantucci, Donato Impedovo

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• PROGESI: A PROxy Grammar to Enhance Web Application Firewall for SQL Injection Prevention
  IEEE Access, 2024
  [DOI: 10.1109/ACCESS.2024.3438092]
  Antonio Coscia, Vincenzo Dentamaro, Stefano Galantucci, Antonio Maci, Giuseppe Pirlo

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• Automatic Decision Tree-Based NIDPS Ruleset Generation for DoS/DDoS Attacks
  Journal of Information Security and Applications, 2024-05
  [DOI: 10.1016/j.jisa.2024.103736]
  Antonio Coscia, Vincenzo Dentamaro, Stefano Galantucci, Antonio Maci, Giuseppe Pirlo

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• YAMME: A YAra-byte-signatures Metamorphic Mutation Engine
  IEEE Transactions on Information Forensics and Security, 2023
  [DOI: 10.1109/TIFS.2023.3294059]
  Antonio Coscia, Vincenzo Dentamaro, Stefano Galantucci, Antonio Maci, Giuseppe Pirlo

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• Comparing Deep Learning and Shallow Learning Techniques for API Calls Malware Prediction
  Applied Sciences, 2022-02
  [DOI: 10.3390/app12031645]
  Angelo Cannarile, Vincenzo Dentamaro, Stefano Galantucci, Andrea Iannacone, Donato Impedovo, Giuseppe Pirlo

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• BACH: A Tool for Analyzing Blockchain Transactions Using Address Clustering Heuristics
  Information, 2024-09-26
  [DOI: 10.3390/info15100589]
  Michele Caringella, Francesco Violante, Francesco De Lucci, Stefano Galantucci, Matteo Costantini

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• One Time User Key: A User-Based Secret Sharing XOR-ed Model for Multiple User Cryptography
  IEEE Access, 2021
  [DOI: 10.1109/ACCESS.2021.3124637]
  Stefano Galantucci, Donato Impedovo, Giuseppe Pirlo

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• Combining Unsupervised Approaches for Near Real-Time Network Traffic Anomaly Detection
  Applied Sciences, 2022-02
  [DOI: 10.3390/app12031759]
  Francesco Carrera, Vincenzo Dentamaro, Stefano Galantucci, Andrea Iannacone, Donato Impedovo, Giuseppe Pirlo

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• Ensemble Consensus: An Unsupervised Algorithm for Anomaly Detection in Network Security Data
  CEUR Workshop Proceedings, 2021
  Vincenzo Dentamaro, V.N. Convertini, Stefano Galantucci, P. Giglio, T. Palmisano, Giuseppe Pirlo

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• A Case Study of Navigation System Assistance with Safety Purposes in the Context of Covid-19
  Lecture Notes in Computer Science, 2021
  [DOI: 10.1007/978-3-030-85607-6_35]
  Galantucci, S.; Giglio, P.; Dentamaro, V.; Pirlo, G.

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• Firewall Optimization: An Innovative Two-Stage Algorithm to Optimize Firewall Rule Ordering
  Computers & Security, 2023-11
  [DOI: 10.1016/j.cose.2023.103423]
  Antonio Coscia, Vincenzo Dentamaro, Stefano Galantucci, Antonio Maci, Giuseppe Pirlo

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