Android mobiles are more popular than other software system like IoS. Android market share will reach 85.3%, more than 1 billion android device are vulnerable to malware. In android mobile are attack by malware to stealing the information, private message, hacking to manage the equipment. It causes series damage to consumer.  Our proposed technique is used to identify the malware in android application by developing an algorithm namely Support Vector Machine (SVM), the system is light that is responsible for detecting the malware effectively.

Keywords: SVM, PCA-RELIEF, KNN, APK, ML