Giovanni Ciaramella

Orcid: 0009-0002-9512-0621

According to our database¹, Giovanni Ciaramella authored at least 16 papers between 2021 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of three.

Timeline

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Bibliography

2024

Explainable Ransomware Detection with Deep Learning Techniques.

[BibT_eX]

[DOI]

J. Comput. Virol. Hacking Tech., June, 2024

A Proposal for Privacy-preserving Ransomware Detection by means of Federated Machine Learning.

[BibT_eX]

[DOI]

Giovanni Ciaramella

Fabio Martinelli

Francesco Mercaldo

ERCIM News, 2024

An Approach for Privacy-Preserving Mobile Malware Detection Through Federated Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

DroidDefender: An Image-based Android Antimalware Proof-of-Concept.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth ACM Conference on Data and Application Security and Privacy, 2024

2023

Exploring Quantum Machine Learning for Explainable Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

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

[BibT_eX]

[DOI]

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

A Proposal for Trustworthy Artificial Intelligence.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

Explainable Deep Learning for Smart Grid Stability Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Introducing Quantum Computing in Mobile Malware Detection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Giovanni Ciaramella

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