Risk-Based Authentication System Using Hierarchical Sub-Feature-Based Model-(HSFBM)

Title

Risk-Based Authentication System Using Hierarchical Sub-Feature-Based Model-(HSFBM)

Creator

Pramila, R.M.; Shukla, Samiksha

Description

Password-based authentication system recently has been more secure as risk-based authentication system (RBA) is indentured. The RBA system monitors the parameters extracted during the user login process, and based on the proposed model, the system raises a multi-factor authentication to the user. As the vulnerability has increased concerning passwords, fingerprints easy access to any web application may result in a security flow. Several best practices have addressed these issues, but the security threats have been challenging during the initial login sessions. Hence, this paper proposes a novel method for an effective risk identification method during the initial login phase using a hierarchical sub-feature-based model for different categories of users in an RBA system. The FAR is comparatively better in our proposed model, with minimal re-authentication requests for the user. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

Source

Lecture Notes in Networks and Systems;Volume;1363 LNNS;pp.493-504

Date

01-01-2025

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Adaptive authentication; Authentication; Contextual information; Risk-based authentication

Coverage

Pramila R.M., CHRIST (Deemed to Be University) Pune Lavas, Lavasa, India; Shukla S., CHRIST (Deemed to Be University) Bangalore, Bangalore, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISSN: 23673370; ISBN: 978-981965216-7;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-96-5217-4_39

https://www.scopus.com/pages/publications/105015971756?origin=resultslist