Bilatu
45-tik 41-45 emaitza erakusten
poliSPAM: Analisis de la eficiencia del spam personalizado utilizando informacion publica de redes sociales
(Mondragon Unibertsitatea, 2012)
Las campañas de envío de correos electrónicos no deseados siguen siendo una de las mayores amenazas que afectan a millones de usuarios al día. Si bien los filtros antispam son capaces de detectar y rechazar un número elevado ...
Novel email spam detection method using sentiment analysis and personality recognition
(Oxford Academic, 2020)
Unsolicited email campaigns remain as one of the biggest threats affecting millions of users per day. During the past years several techniques to detect unsolicited emails have been developed. This work provides means to ...
Federated Explainability for Network Anomaly Characterization
(ACM, 2023)
Machine learning (ML) based systems have shown promising results for intrusion detection due to their ability to learn complex patterns. In particular, unsupervised anomaly detection approaches offer practical advantages ...
Combined data mining approach for intrusion detection
(Scitepress, 2007)
This paper presents the results of the project MIAU, a data mining approach for intrusion detection alert correlation. MIAU combines different data mining techniques in order to properly solve some existing problems in the ...
Latentziarik gabeko sareko identifikatzaileen aleatorizazioa kontrol industrialerako sistemetan proaktiboki errekonozimendu erasoak mitigatzeko
(UEU, 2023)
Kontrol industrialerako sistemak askotariko instalazio industrialetan erabiltzen dira, azpiegitura kritikoetan barne, segurtasun-eraso anitzen helburu nagusi bihurtuz. Sare industrialen konfigurazio eta topologia estatikoek, ...