KRDroid: Ransomware-Oriented Detector for Mobile Devices Based on Behaviors

Abstract

Ransomware has become a serious threat on Android and new cases of ransomware are continuously growing. Most existing ransomware detectors use sensitive text or APIs to detect ransomware. Some goodware applications with the functionalities of locking screen and encrypting files have similar behaviors with ransomware. It is difficult for ransomware detectors to identity them. In this paper, we made detailed analyses of three kinds of active ransomware. We proposed a behavior-based ransomware detector on Android, called KRDroid. KRDroid deploys on servers or PCs, that is, ransomware cannot be activated and cause any loss during testing. Experiments showed that our ransomware-oriented detector can find 1809 of 1862 unseen ransomware. It can also distinguish goodware with similar ransom behaviors to ransomware with an accuracy of 97.5%.

Keywords

• ransomware detector
• behavior-pattern-based detection
• ransomware analysis
• Android