期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2021
卷号：10
期号：6
页码：7-11
DOI：10.35940/ijsce.F3508.0710621
语种：English
出版社：International Journal of Soft Computing & Engineering
摘要：Authentication is a process of verifying the credibility of a user who is trying to access classified or confidential information. There is a vast unfold in the number of internet users, and the demand for IoT devices, cloud services has been increasing; it is now essential more than ever to protect the data hosted on the internet. So, the authentication process cannot be relied on single-factor static authentication methods to verify the user credentials. All devices in the market are not equipped with biometric systems, so a form of multi-factor authentication which is independent of biometrics needs to be adopted for a secure authentication system. This paper portraits a systematic architecture to verify user credentials using specific parameters, trying to unfold patterns using machine learning algorithms based on user’s past login records, thus trying to provide a safer and secure authentication process for the users.
