Mobile Big Data: Malware and Its Analysis

Abstract

The quick extension of mobile big data by telecoms vendors, has presented a flexible worldwide platform that creates a user interface for many app data bases or app stores. Big data is a tremendously well-known idea, however what are we truly talking about? From a security point of view, there are two particular issues: securing the app stores or app databases with its source of information in big data context and utilizing big data procedures to break down, and even anticipate, security flaws. The main issue arise that many hackers or attackers are targeting mobile big data in the form of signaling big data, mobile traffic big data, location-based big data, and heterogeneous data in app store. In this paper, we are taking Android-based mobile operating system for experimental setup. This paper contains an extraction technique to extract the malware in different big data context and also analysis of these malware. We have worked with many Mallarme family (as approx 40 K malware) in mobile big data and result of the whole analysis is approx 90% to identify the current malware in mobile big data.