An Efficient Malware Detection Approach for Malicious Android Application

Artificial intelligence is changing the game for cybersecurity, analyzing enormous amount of risky data, increasing response times and enlarging the abilities of under-resourced security tasks. While security as IT percentage grows at a fast pace, the cost of security beaches grows at a more rapid pace. The malware targeting Android is growing. Android systems holds more than 70 percent of the market share.This paper presents a simple APK analysis approach with the help of neural networks to identify malicious and benign application. The selected methodology is efficient in detecting malwares with an accuracy of 98.42% and false positive rate of 0.012