The Role of Mobile Network-Apps Security Using Network Techniques

Now-a-days, Apps based on Mobile Network Technology that are known as Mobile network Apps are very popular among all kinds of users. But, sufficient knowledge of users about the Apps is questionable. Many users don't know which application is useful for their smart phone and which is not and which apps exploit their ignorance etc. Exploiting the unawareness / ignorance of users, some fraudulent activities happened through mobile applications. In this situation, App designers use shady means, such as raise the App values or App ratings to commit fraud. For instance, Apple took action against App designers, who submitted misrepresentation in the Apple's App Store. App developers resolve to some fake ranks and comments to intentionally help their Apps for ranking on an App store. In this thesis, we propose that these fraudulent activities can be identified, controlled and conquered by an innovative method with the investigation of three types of evidences, i.e., ranking based evidences, rating based evidences, review based evidences and their historical records. These three types of evidences are used to create Evidence Aggregation Certificate. We evaluate the proposed system with real world App data collected from the iOS App store over a span of time. In this experiment, we validate the effectiveness of the proposed system and show the scalability of the detection algorithm as well as some regularity of ranking fraud activities.