Strengthening user Authentication using Keystroke Dynamics

Abstract

In today's world, the technology has transitioned at such a great extent, that the mobile devices can do all the functions and tasks which were previously done by a personal digital assistant. The mobile phones have the ability to store sensitive and confidential information like digital certificates, financial records and company records, making them primary target for intruders. Thus to secure that, Personal Identification Number (PIN) is used currently, which has limitations from both end user and technological perspective. Therefore, there is a need for non-intrusive and stronger subscriber verification technique. This paper presents the viability of one such technique, the usage of keystroke dynamics to provide an additional layer of security along with PIN. In this paper, we discuss different approaches and methodologies to authenticate users based on their interactions with a mobile phone keypad, comprising a number of investigators into the ability of neural networks.