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Short Messages Spam Filtering Combining Personality Recognition and Sentiment Analysis 

Ezpeleta, Enaitz; Garitano, Iñaki; Zurutuza, Urko (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 ...
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A study of the personalization of spam content using Facebook public information 

Ezpeleta, Enaitz; Zurutuza, Urko (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], ...
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Deep packet inspection for intelligent intrusion detection in software-defined industrial networks: A proof of concept 

Sainz Oruna, Markel; Garitano, Iñaki; Iturbe, Mikel; Zurutuza, Urko (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 ...
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Gotham Testbed: A Reproducible IoT Testbed for Security Experiments and Dataset Generation 

Sáez-de-Cámara, Xabier; Zurutuza, Urko (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 ...

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a0e0c864f710057ff478bee93b061c01 (4)
3a2df8b70cbacf7866ab05906556f78c (2)d91110e67da92a88f1d0dfad5e0934a8 (2)2091789a0efe4678b167df6999ac9f34 (1)98613b8d4be2c152de57f46af36bed4b (1)db389c35f5c521bb5d4700318410eb76 (1)Subject
security (4)
spam (2)anomaly detection (1)Botnet (1)emulation (1)Facebook (1)Industrial control systems (1)Internet of Things (1)machine learning (1)malware (1)... View MoreDate Issued2017 (2)2020 (1)2023 (1)Has File(s)Yes (4)

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