A Systematic Approach for a Secure Authentication System
H A Gautham1, Ramakanth Kumar P2
1H A Gautham*, Department of Computer Science and Engineering, R.V. College of Engineering, Bengaluru (Karnataka), India.
2Dr. Ramakanth Kumar P, Professor & Head, Department, Department of Computer Science and Engineering, R.V. College of Engineering, Bengaluru (Karnataka), India.
Manuscript received on June 05, 2021. | Revised Manuscript received on June 12, 2021. | Manuscript published on July 30, 2021. | PP: 7-11 | Volume-10 Issue-6, July 2021. | Retrieval Number: 100.1/ijsce.F35080510521 | DOI: 10.35940/ijsce.F3508.0710621
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Authentication Process, Machine Learning, Multi-Factor Authentication, Security, Two-Factor Authentication, User Login.