HamDroid: permission-based harmful android anti-malware detection using neural networks

Android platforms are a popular target for attackers, while many users around the world victims of malwares threatening their private information. Numerous anti-malware applications fake and do not work as advertised because they have been developed either by amateur programmers or software companies that focused on security aspects business. Such usually ask generally receive non-necessary permissions which at end collect sensitive The rapidly developing is serious problem, there need detection harmful anti-malware. This article delivers dataset anti-malware, including malicious benign, customized multilayer perceptron neural network being used to detect based applications. results show proposed method can with very high accuracy it outperforms other standard classifiers in terms accuracy, precision, recall.