- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Detection of malicious URLs using machine learning ; day:6 ; month:3 ; year:2024 ; pages:1-18
Wireless networks ; (6.3.2024), 1-18
- Urheber
-
Reyes-Dorta, Nuria
Caballero-Gil, Pino
Rosa-Remedios, Carlos
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s11276-024-03700-w
- URN
-
urn:nbn:de:101:1-2405100915572.763195850817
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:50 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Reyes-Dorta, Nuria
- Caballero-Gil, Pino
- Rosa-Remedios, Carlos
- SpringerLink (Online service)
Ähnliche Objekte (12)
Detecting malicious bot-induced network traffic using machine learning
Hidost: a static machine-learning-based detector of malicious files
Apply machine learning techniques to detect malicious network traffic in cloud computing
Machine Learning Models in Network Intrusion Detection Systems : Self-Supervised Detection of Malicious Flows and Traffic Patterns Recognition in Programmable Networks
Large-scale detection and measurement of malicious content
Malicious DNS detection by combining improved transformer and CNN
Dysgraphia detection through machine learning
{URL}
{URL}
{URL}
{URL}
{URL}
Detecting malicious bot-induced network traffic using machine learning
Hidost: a static machine-learning-based detector of malicious files
Apply machine learning techniques to detect malicious network traffic in cloud computing
Machine Learning Models in Network Intrusion Detection Systems : Self-Supervised Detection of Malicious Flows and Traffic Patterns Recognition in Programmable Networks
Large-scale detection and measurement of malicious content
Malicious DNS detection by combining improved transformer and CNN
Dysgraphia detection through machine learning
{URL}
{URL}
{URL}
{URL}
{URL}
Detecting malicious bot-induced network traffic using machine learning
Hidost: a static machine-learning-based detector of malicious files
Apply machine learning techniques to detect malicious network traffic in cloud computing
Machine Learning Models in Network Intrusion Detection Systems : Self-Supervised Detection of Malicious Flows and Traffic Patterns Recognition in Programmable Networks
Large-scale detection and measurement of malicious content
Malicious DNS detection by combining improved transformer and CNN
Dysgraphia detection through machine learning
{URL}
{URL}
{URL}
{URL}