N-gram Opcode Analysis for Android Malware Detection

Understand

Android malware has been on the rise in recent years due to the increasing popularity of Android and the proliferation of third party application markets.

• Emerging Android malware families are increasingly adopting sophisticated detection avoidance techniques and this calls for more effective approaches for Android malware detection.
• Hence, in this paper we present and evaluate an n-gram opcode features based approach that utilizes machine learning to identify and categorize Android malware.
• This approach enables automated feature discovery without relying on prior expert or domain knowledge for pre-determined features.