In light of the growing reliance on digital technology, the security of digital devices and networks has become a critical concern in the information technology industry. Network analysis can be helpful for identifying and mitigating network-based attacks, as it enables the monitoring of network behavior and the detection of anomalous activity. Through the use of network analysis, organizations can better defend against potential security threats and protect their interconnected digital systems.
A Method for Robust and Explainable Image-Based Network Traffic Classification with Deep Learning / Hattak, Amine; Mercaldo, Francesco; Iadarola, Giacomo; Martinelli, Fabio; Santone, Antonella. - (2023), pp. 385-393. (Intervento presentato al convegno The 20th International Conference on Security and Cryptography (SECRYPT 2023) tenutosi a Rome) [10.5220/0012083200003555].
A Method for Robust and Explainable Image-Based Network Traffic Classification with Deep Learning
Hattak Amine
Primo
Project Administration
;
2023
Abstract
In light of the growing reliance on digital technology, the security of digital devices and networks has become a critical concern in the information technology industry. Network analysis can be helpful for identifying and mitigating network-based attacks, as it enables the monitoring of network behavior and the detection of anomalous activity. Through the use of network analysis, organizations can better defend against potential security threats and protect their interconnected digital systems.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
