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; Italy) [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.
2023
The 20th International Conference on Security and Cryptography (SECRYPT 2023)
Network Traffic Classification; Deep Learning; Network Intrusion Detection; Explainable AI; Cybersecurity
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
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; Italy) [10.5220/0012083200003555].
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Note: DOI 10.5220/0012083200003555
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1699165
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