Zerrendatu Artikuluak-Ingeniaritza honen arabera: gaia "security"
6-tik 1-6 emaitza erakusten
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Deep packet inspection for intelligent intrusion detection in software-defined industrial networks: A proof of concept
(Oxford Academic, 2020)Specifically tailored industrial control systems (ICSs) attacks are becoming increasingly sophisticated, accentuating the need of ICS cyber security. The nature of these systems makes traditional IT security measures not ... -
Gotham Testbed: A Reproducible IoT Testbed for Security Experiments and Dataset Generation
(IEEE, 2023)The growing adoption of the Internet of Things (IoT) has brought a significant increase in attacks targeting those devices. Machine learning (ML) methods have shown promising results for intrusion detection; however, the ... -
Improving fuzzing assessment methods through the analysis of metrics and experimental conditions
(Elsevier, 2023)Fuzzing is nowadays one of the most widely used bug hunting techniques. By automatically generating malformed inputs, fuzzing aims to trigger unwanted behavior on its target. While fuzzing research has matured considerably ... -
Nuevos Paradigmas de Análisis Basados en Contenidos para la Detección del Spam en RRSS
(Sociedad Española para el Procesamiento del Lenguaje Natural, 2018)Tesis doctoral realizada por Enaitz Ezpeleta Gallastegi en Mondragon Unibertsitatea, dentro del grupo de Sistemas Inteligentes para Sistemas Industriales, dirigida por los Doctores Urko Zurutuza Ortega (Mondragon Unibertsitatea) ... -
Short Messages Spam Filtering Combining Personality Recognition and Sentiment Analysis
(World Scientific Publishing, 2017)Currently, short communication channels are growing up due to the huge increase in the number of smartphones and online social networks users. This growth attracts malicious campaigns, such as spam campaigns, that are a ... -
A study of the personalization of spam content using Facebook public information
(Oxford University Press, 2017)Millions of users per day are affected by unsolicited email campaigns. Spam filters are capable of detecting and avoiding an increasing number of messages, but researchers have quantified a response rate of a 0.006% [1], ...