Now showing items 1-4 of 4

    • New approaches for content-based analysis towards online social network spam detection 

      Ezpeleta Gallastegi, Enaitz (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2016)
      Unsolicited email campaigns remain as one of the biggest threats affecting millions of users per day. Although spam filtering techniques are capable of detecting significant percentage of the spam messages, the problem is ...
    • Short Messages Spam Filtering Combining Personality Recognition and Sentiment Analysis 

      Ezpeleta Gallastegi, Enaitz; Garitano Garitano, Iñaki; Zurutuza Ortega, 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 ...
    • Short Messages Spam Filtering Using Sentiment Analysis 

      Ezpeleta Gallastegi, Enaitz; Zurutuza Ortega, Urko (Springer International Publishing, 2016)
      In the same way that short instant messages are more and more used, spam and non-legitimate campaigns through this type of communication systems are growing up. Those campaigns, besides being an illegal online activity, ...
    • A study of the personalization of spam content using Facebook public information 

      Ezpeleta Gallastegi, Enaitz; Zurutuza Ortega, 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], ...