A Study on Financing Security for Smartphones Using Text Mining

Abstract

With the emergence of smartphones, our lives have considerably changed. A smartphone has not only conventional calling, text-messaging, and photo-taking functions, but also performs many other functions by executing apps. In particular, more financial transactions using smartphone have recently become possible. With the global rapid rise in smartphone users and an ever-growing time and frequency of smartphone use, smartphones have become a target of malicious attacks. As a result, the damage caused by personal information leakage, phishing, and pharming has occurred more frequently. In this respect, however, very few studies have previously used crawling and text mining techniques, which have been actively studied quite recently; furthermore, network analysis has rarely been conducted. In this context, the present study collected the data from 2014 to the first half of 2016 on the trends of safe financing via smartphone with the crawling technique and analyzed the collected data with the text mining Technique. Our results suggest that there was a difference in the use of important keywords related to smartphone financial security, on the year-on-year basis. This suggests that an increasing number of financial services provided using smartphones should be accompanied by the elaboration of safe smartphone financial security services. In addition, for the sake smartphone financial security, not only manufacturers, but also banks, i.e. service providers, and users must pay specific attention to security issues.