Author

Arnaldo Sgueglia

Observed name: A. Sgueglia

Institution: University of Sannio

Observed institution: University of Sannio

ORCID: 0000-0002-8881-5081

Observed ORCID: 0000-0002-8881-5081

OpenAlex ID: A5077589784

A systematic literature review of IoT time series anomaly detection solutions

2022 · Arnaldo Sgueglia, Andrea Di Sorbo, et al. · Future Generation Computer Systems · 104

The ransomware blueprint: Attack patterns and strategic variations across gangs

2025 · Francesco Saccone, Pietro Melillo, et al. · Journal of Information Security and Applications · 7

SecDefender: Detecting low-quality models in multidomain federated learning systems

2024 · Sameera K.M., Arnaldo Sgueglia, et al. · Future Generation Computer Systems · 2

False Data Injection Identification in Energy Microgrids Through an Anomaly Detection Approach

2025 · A. Sgueglia, G. Spinelli, et al. · Lecture notes in electrical engineering · 1

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Come Together: Sbom-Enhanced Vulnerability Assessment in Safety-Critical Systems

2025 · Gregorio Dalia, Arnaldo Sgueglia, et al. · SSRN Electronic Journal · 1

Preface for NLBSE’24: Natural language-based software to support software engineering processes

2026 · Ali Al-Kaswan, Rafael Kallis, et al. · Science of Computer Programming

Poster: A Multi-step Approach for Classification of Malware Samples

2024 · Arnaldo Sgueglia, Rocco Addabbo, et al. · ACM SIGSAC Conference on Computer and Communications Security (CCS)

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FRINGE: context-aware FaiRness engineerING in complex software systEms

2024 · Fabio Palomba, Andrea Di Sorbo, et al. · Proceedings of the ... ACM-IEEE International Symposium on Empirical Software Engineering and Measurement/International Symposium on Empirical Software Engineering and Measurement

Works count: 8

Citation count: 115

H-index: 2

I10-index: 1