Anomaly Detection using String Analysis for Android Malware Detection

摘要: The usage of mobile phones has increased in our lives because they offer nearly the same functionality as a personal computer. Specifically, Android is one most widespread operating systems. Indeed, its app store visited and number applications available for this platform also increased. However, it happens with any popular service, prone to misuse, malware samples dramatically last months. Thus, we propose new method based on anomaly detection that extracts strings contained application files order detect malware.