Improved Testing of AI-Based Anomaly Detection Systems Using Synthetic Surveillance Data

Improved Testing of AI-Based Anomaly Detection Systems Using Synthetic Surveillance Data

Major transportation surveillance protocols have not been specified with cyber security in mind and therefore provide no encryption nor identification. These issues expose air and sea transport to false data injection attacks (FDIAs), in which an attacker modifies, blocks or emits fake surveillance...

Full description

Bibliographic Details
Main Authors: Antoine Chevrot, Alexandre Vernotte, Pierre Bernabe, Aymeric Cretin, Fabien Peureux, Bruno Legeard
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Proceedings
Subjects:
anomaly detection
synthetic data generation
AI testing
ATC
VTS
Online Access:https://www.mdpi.com/2504-3900/59/1/9

Internet

https://www.mdpi.com/2504-3900/59/1/9

Similar Items