Secure User Authentication by using Biometric and Keystroke in Cloud

Abstract

In last few years the data usage from internet has been increased at very high rate. The adaption of cloud in business organizations increased exponentially. But unfortunately the attacks on that data and transactions are also increasing. As the every authorized user has their own username and password to access their personal accounts, but as these details can be misused by an authorized user so there is a requirement of additional authentication step. The combination of keystroke biometric, voice authentication and cryptography is more efficient to authenticate the user and provide more security. Keystroke biometrics is based on the assumption the typing pattern of each user is unique and cryptography in use to secure the password. By using voice authentication password will reset. In this paper, looking forward at several processes for keystroke biometrics to enhance user authentication. The objective is to collect a keystroke-dynamics dataset, to develop a repeatable evaluation procedure, and to measure the performance of a range of detectors so that the results can be compared more accurately. The database is used to degree of variance of the user and to detect the authorization of the user.