Giovanni Ciaramella

According to our database, Giovanni Ciaramella authored at least 12 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Exploring Quantum Machine Learning for Explainable Malware Detection.

Giovanni Ciaramella, Fabio Martinelli, Francesco Mercaldo, Antonella Santone

Proceedings of the International Joint Conference on Neural Networks, 2023

StegWare: A Novel Malware Model Exploiting Payload Steganography and Dynamic Compilation.

Daniele Albanese, Rosangela Casolare, Giovanni Ciaramella, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Marco Russodivito, Antonella Santone

Proceedings of the 9th International Conference on Information Systems Security and Privacy, 2023

A Proposal for Trustworthy Artificial Intelligence.

Giovanni Ciaramella, Fabio Martinelli, Francesco Mercaldo, Antonella Santone

Proceedings of the IEEE International Conference on Big Data, 2023

Explainable Deep Learning for Smart Grid Stability Detection.

Giovanni Ciaramella, Fabio Martinelli, Francesco Mercaldo, Antonella Santone

Proceedings of the IEEE International Conference on Big Data, 2023

Obfuscated Mobile Malware Detection by Means of Dynamic Analysis and Explainable Deep Learning.

Francesco Mercaldo, Giovanni Ciaramella, Antonella Santone, Fabio Martinelli

Proceedings of the 18th International Conference on Availability, Reliability and Security, 2023

2022

A Real-time Method for CAN Bus Intrusion Detection by Means of Supervised Machine Learning.

Francesco Mercaldo, Rosangela Casolare, Giovanni Ciaramella, Giacomo Iadarola, Fabio Martinelli, Francesco Ranieri, Antonella Santone

Proceedings of the 19th International Conference on Security and Cryptography, 2022

A Model Checking-based Approach to Malicious Family Detection in iOS Environment.

Giovanni Ciaramella, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

On the Resilience of Shallow Machine Learning Classification in Image-based Malware Detection.

Rosangela Casolare, Giovanni Ciaramella, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone, Michele Tommasone

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning.

Giovanni Ciaramella, Stefano Fagnano, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning: A Proposal.

Giovanni Ciaramella, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone

Proceedings of the IEEE International Conference on Big Data, 2022

Introducing Quantum Computing in Mobile Malware Detection.

Giovanni Ciaramella, Giacomo Iadarola, Francesco Mercaldo, Marco Storto, Antonella Santone, Fabio Martinelli

Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

2021

SteælErgon: A Framework for Injecting Colluding Malicious Payload in Android Applications.

Rosangela Casolare, Giovanni Ciaramella, Fabio Martinelli, Francesco Mercaldo, Antonella Santone

Proceedings of the ARES 2021: The 16th International Conference on Availability, 2021