Table of Contents Author Guidelines Submit a Manuscript
Journal of Electrical and Computer Engineering
Volume 2016, Article ID 8034967, 17 pages
http://dx.doi.org/10.1155/2016/8034967
Research Article

Detection and Visualization of Android Malware Behavior

1Electronics and Computing Department, Mondragon University, 20500 Mondragon, Spain
2National University of Engineering (UNI), P.O. Box 5595, Managua, Nicaragua
3ExoClick SL, 08005 Barcelona, Spain
4Department of Computer and Information Science, Linköping University, 581 83 Linköping, Sweden

Received 7 November 2015; Accepted 7 February 2016

Academic Editor: Aniket Mahanti

Copyright © 2016 Oscar Somarriba et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [12 citations]

The following is the list of published articles that have cited the current article.

  • Alejandro González, Álvaro Herrero, and Emilio Corchado, “Neural Visualization of Android Malware Families,” International Joint Conference SOCO’16-CISIS’16-ICEUTE’16, vol. 527, pp. 574–583, 2016. View at Publisher · View at Google Scholar
  • Mohd Faizal Ab Razak, Nor Badrul Anuar, Fazidah Othman, Ahmad Firdaus, Firdaus Afifi, and Rosli Salleh, “Bio-inspired for Features Optimization and Malware Detection,” Arabian Journal for Science and Engineering, 2017. View at Publisher · View at Google Scholar
  • Javier Sedano, Silvia González, Camelia Chira, Á Lvaro Herrero, Emilio Corchado, and JosÉ Ramón Villar, “Key features for the characterization of Android malware families,” Logic Journal of the IGPL, vol. 25, no. 1, pp. 54–66, 2017. View at Publisher · View at Google Scholar
  • Rafael Vega Vega, Héctor Quintián, José Luís Calvo-Rolle, Álvaro Herrero, and Emilio Corchado, “Gaining deep knowledge of Android malware families through dimensionality reduction techniques,” Logic Journal of the IGPL, 2018. View at Publisher · View at Google Scholar
  • Yeali S. Sun, Chien-Chun Chen, Shun-Wen Hsiao, and Meng Chang Chen, “ANTSdroid: Automatic Malware Family Behaviour Generation and Analysis for Android Apps,” Information Security and Privacy, vol. 10946, pp. 796–804, 2018. View at Publisher · View at Google Scholar
  • Jemal H. Abawajy, Mohammad Mehedi Hassan, Shaila Sharmeen, Shamsul Huda, and Walaa Nagy Ismail, “Malware Threats and Detection for Industrial Mobile-IoT Networks,” IEEE Access, 2018. View at Publisher · View at Google Scholar
  • Urko Zurutuza, and Oscar Somarriba, “A collaborative framework for android malware detection using DNS & dynamic analysis,” 2017 IEEE 37th Central America and Panama Convention, CONCAPAN 2017, vol. 2018-, pp. 1–6, 2018. View at Publisher · View at Google Scholar
  • Oscar Somarriba, “Detecting blacklisted URLs from unmodified and non-rooted Android devices,” 2017 IEEE 37th Central America and Panama Convention, CONCAPAN 2017, vol. 2018-, pp. 1–6, 2018. View at Publisher · View at Google Scholar
  • Luca Casati, and Andrea Visconti, “The Dangers of Rooting: Data Leakage Detection in Android Applications,” Mobile Information Systems, vol. 2018, pp. 1–9, 2018. View at Publisher · View at Google Scholar
  • Madihah Mohd Saudi, and Zubaile Abdullah, “RAPID-Risk assessment of android permission and application programming interface (API) call for android botnet,” International Journal of Engineering and Technology(UAE), vol. 7, no. 4, pp. 49–54, 2018. View at Publisher · View at Google Scholar
  • Yan Zhang, Yazhe Wang, Minghui Tian, Jianxing Hu, Liming Wang, Gui Peng, Lu Yang, and Chen Song, “Visual analysis of android malware behavior profile based on PMCGdroid: A pruned lightweight APP call graph,” Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 238, pp. 449–468, 2018. View at Publisher · View at Google Scholar
  • Rafael Vega Vega, Héctor Quintián, Carlos Cambra, Nuño Basurto, Álvaro Herrero, and José Luis Calvo-Rolle, “Delving into Android Malware Families with a Novel Neural Projection Method,” Complexity, vol. 2019, pp. 1–10, 2019. View at Publisher · View at Google Scholar