Effective detection of android malware based on the usage of data flow APIs and machine learning

摘要

Context. Android has been ranked as the top smartphone platform nowadays. Studies show that Android malware have increased dramatically and that personal privacy theft has become a major form of attack in recent years. These critical security circumstances have generated a strong interest in developing systems that automatically detect malicious behaviour in Android applications (apps). However, most methods of detecting sensitive data leakage have certain shortcomings, including computational expensiveness and false positives.