User Input Pattern-Based Authentication Method to Prevent Mobile E-Financial Incidents

Owing to the increase in the use of mobile banking services, mobile banking has become an attractive target for attackers. Even though many security measures are taken with current mobile services, some threats against mobile devices such as physical theft or penetration from the remote side are still unsolved. We proposed a novel approach to prevent e-financial incidents by analyzing the input patterns of mobile banking users such as how long it takes a user to input data into a mobile device, and the normal finger pressure levels when using a touch screen. We can distinguish the differences between an original user´s usage pattern and an attacker´s usage pattern. The proposed method shows high accuracy and is effective in proactive preventing e-financial incidents.