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Smartphone malwares are serious threat. Malware detector is the primary tool to protect Smartphones against malwares. The malware detector efficiency is based on the technique it uses. In this paper, we survey the current state of the art of Smartphone malware detection techniques. Those techniques have been classified into a structured taxonomy based on 3 rules. Those rules are inferred and compiled from literature review. The rules are: reference behaviour, analysis approach and malware behaviour representation. According to reference behaviour rule, Smartphone malware detection techniques divided into two main classes: signature-based and anomaly-based. In side these classes, ramifications are then derived according to analysis approach rule and malware behaviour representation rule.