Detection and Visualization of Android Malware Behavior

@article{Jarqun2016DetectionAV,
  title={Detection and Visualization of Android Malware Behavior},
  author={Oscar Somarriba Jarqu{\'i}n and Urko Zurutuza and Roberto Uribeetxeberria and Laurent Delosi{\`e}res and Simin Nadjm-Tehrani},
  journal={J. Electrical and Computer Engineering},
  year={2016},
  volume={2016},
  pages={8034967:1-8034967:17}
}
Malware analysts still need to manually inspect malware samples that are considered suspicious by heuristic rules. They dissect software pieces and look for malware evidence in the code. The increasing number of malicious applications targeting Android devices raises the demand for analyzing them to find where the malcode is triggered when user interacts with them. In this paper a framework to monitor and visualize Android applications’ anomalous function calls is described. Our approach… CONTINUE READING