Hartley's test ranked opcodes for Android malware analysis

Abstract

The popularity and openness of Android platform encourage malware authors to penetrate various market places with malicious applications. As a result, malware detection has become a critical topic in security. Currently signature-based system is able to detect malware only if it is properly documented. This reveals the need to find new malware detection techniques. In our framework, a statistical technique for Android malware detection using opcodes extracted from various applications is proposed. This technique is evaluated against malware apk samples from contagio dataset and benign apk samples from various markets. The prominent features that result in reduced misclassification rates are determined using Hartley's test.