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Characterization of Android Malware Families by a Reduced Set of Static Features

  • Javier Sedano [1] ; Camelia Chira [2] ; Silvia González [1] ; Álvaro Herrero [3] ; Emilio Corchado [4] ; José Ramón Villar [5]
    1. [1] Instituto Tecnológico de Castilla y León

      Instituto Tecnológico de Castilla y León

      Burgos, España

    2. [2] Technical University of Cluj-Napoca

      Technical University of Cluj-Napoca

      Rumanía

    3. [3] Universidad de Burgos

      Universidad de Burgos

      Burgos, España

    4. [4] Universidad de Salamanca

      Universidad de Salamanca

      Salamanca, España

    5. [5] Universidad de Oviedo

      Universidad de Oviedo

      Oviedo, España

  • Localización: International Joint Conference SOCO’16-CISIS’16-ICEUTE’16: San Sebastián, Spain, October 19th-21st, 2016 Proceedings / coord. por Manuel Graña Romay Árbol académico, José Manuel López Guede Árbol académico, Oier Etxaniz, Álvaro Herrero Cosío Árbol académico, Héctor Quintián Pardo Árbol académico, Emilio Santiago Corchado Rodríguez Árbol académico, 2017, ISBN 978-3-319-47364-2, págs. 607-620
  • Idioma: inglés
  • Texto completo no disponible (Saber más ...)
  • Resumen
    • Due to the ever increasing amount and severity of attacks aimed at compromising smartphones in general, and Android devices in particular, much effort have been devoted in recent years to deal with such incidents. However, accurate detection of bad-intentioned Android apps still is an open challenge. As a follow-up step in an ongoing research, preset paper explores the selection of features for the characterization of Android-malware families. The idea is to select those features that are most relevant for characterizing malware families. In order to do that, an evolutionary algorithm is proposed to perform feature selection on the Drebin dataset, attaining interesting results on the most informative features for the characterization of representative families of existing Android malware.


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