Donato Impedovo

Professore Associato

Università degli Studi di Bari

Italy

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About

Donato Impedovo is an Associate Professor at the Università degli Studi di Bari, Italy. His research areas include machine learning applications in cybersecurity, human activity recognition, and privacy-preserving technologies. He has authored several recent articles focusing on topics such as federated learning, cyber-attack monitoring, and the use of smartphone sensors for bullying detection.

Articles (18)

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2025

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2021

Collaborators (3)

Stefano Galantucci

Assistant Professor

University of Foggia

ITALY

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Carlo Sansone

University of Naples Federico II

ITALY

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Stefano Marrone

Università degli Studi di Napoli Federico II

ITALY

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Donato Impedovo

Research Interests

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Articles (18)

FOBICS: Assessing project security level through a metrics framework that evaluates DevSecOps performance

An Efficient and Privacy-Preserving Federated Learning Approach Based on Homomorphic Encryption

Human activity recognition with smartphone-integrated sensors: A survey

An Interpretable Adaptive Multiscale Attention Deep Neural Network for Tabular Data

Machine Learning-Based Methodologies for Cyber-Attacks and Network Traffic Monitoring: A Review and Insights

Discrete Fourier Transform in Unmasking Deepfake Images: A Comparative Study of StyleGAN Creations

Development of Technologies for the Detection of (Cyber)Bullying Actions: The BullyBuster Project

A Medical Image Encryption Scheme for Secure Fingerprint-Based Authenticated Transmission

Human Activity Recognition for the Identification of Bullying and Cyberbullying Using Smartphone Sensors

A Hybrid Protection Scheme for the Gait Analysis in Early Dementia Recognition

Next Activity Prediction: An Application of Shallow Learning Techniques Against Deep Learning Over the BPI Challenge 2020

MIRROR: Methodological Innovation to Remodel the Electric Loads to Reduce Economic OR Environmental Impact of User

Combining Unsupervised Approaches for Near Real-Time Network Traffic Anomaly Detection

Comparing Deep Learning and Shallow Learning Techniques for API Calls Malware Prediction: A Study

Human Gait Analysis in Neurodegenerative Diseases: A Review

IEEE Access Special Section Editorial: Behavioral Biometrics for Ehealth and Well-Being

One Time User Key: A User-Based Secret Sharing XOR-ed Model for Multiple User Cryptography in Distributed Systems

Automatic Signature Verification in the Mobile Cloud Scenario: Survey and Way Ahead

Collaborators (3)

Stefano Galantucci

Carlo Sansone

Stefano Marrone

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