HAAMD: Hybrid Analysis for Android Malware Detection

Abstract

With the growth in popularity of smartphone and the number of its users, the dispersion of mobile malware on Android platform has also increased. Currently Android is the hot target of attackers because it has occupied most of the market share. The growing popularity and demand of the smartphone, the large portion of market share covered by Android and the open nature of the android make an android more eye-catching platform for malwares. Scientifically, it is very crucial for an examiner to observe the malicious app's behavior to understand the danger to privacy and security. It may not be possible for an approach to detect the malware at alone, sufficiently, as many advanced techniques are there. So, we can use multiple approaches for effective detection of malware. In this paper, comparison among various kind of analysis techniques (static, dynamic) for Android malware is emphasized. This paper also accommodates different sub-techniques of these analysis techniques, with their functionality used for detection of malware and the comparative facts between these two type of analysis is discussed. In this research, the new technique has been evolved by combining static and dynamic analysis which is named as hybrid analysis and then the effectiveness of this new technique(hybrid analysis) is compared with pre-existed techniques.