Giovanni Battista Gaggero

Orcid: 0000-0001-6404-2451

According to our database1, Giovanni Battista Gaggero authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
ICS-ADD -A Smart Industry Testbed Dataset for Cyber-Physical Security Monitoring Testing.
Dataset, May, 2024

A Framework for the Deployment of Cybersecurity Monitoring Tools in the Industrial Environment.
IT Prof., 2024

Industrial Control System-Anomaly Detection Dataset (ICS-ADD) for Cyber-Physical Security Monitoring in Smart Industry Environments.
IEEE Access, 2024

Are IDS Violating Segmentation in Industrial Networks?
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024

2023
An SDR-Based Cybersecurity Verification Framework for Smart Agricultural Machines.
IEEE Access, 2023

Evaluation of the Impact of Cyber-Attacks Against Electric Vehicle Charging Stations in a Low Voltage Distribution Grid.
Proceedings of the IEEE International Conference on Communications, 2023

SPAT: A Testbed for Automotive Cybersecurity Training.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023

2022
Machine Learning based Anomaly Detection for Cybersecurity Monitoring of Critical Infrastructures.
PhD thesis, 2022

Detecting Cyberattacks on Electrical Storage Systems through Neural Network Based Anomaly Detection Algorithm.
Sensors, 2022

Reduction of the Delays Within an Intrusion Detection System (IDS) Based on Software Defined Networking (SDN).
IEEE Access, 2022

2021
A Possible Smart Metering System Evolution for Rural and Remote Areas Employing Unmanned Aerial Vehicles and Internet of Things in Smart Grids.
Sensors, 2021

Toward the Integration of Cyber and Physical Security Monitoring Systems for Critical Infrastructures.
Sensors, 2021

2020
Detecting System Fault/Cyberattack within a Photovoltaic System Connected to the Grid: A Neural Network-Based Solution.
J. Sens. Actuator Networks, 2020


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