Scrutinizing action performed by user on mobile app through network using machine learning techniques: A survey

Smartphones are used in a large scale for different activities like bank transaction, shopping, surfing knowledge etc. Everyone is carrying mobile in their pocket where sensitive or private information is stored about individual user. As user interacted with mobile apps lot of network traffic is generated by sending or receiving request. Generated network traffic analyzed by attacker and there is a possibility that private information can be viewed by attacker. That means user data is not secured so how attacker track user is explained in the paper. The organization of this paper is as follows. First section describes introduction in brief, section II provides related work done on analyzing network traffic, section III describes machine learning background with example, and section IV includes conclusion which help to extend current work.