Allometry Authentication in the Field of Finance: Creation of Well Secured System using AI Algo Based Systems
- Title
- Allometry Authentication in the Field of Finance: Creation of Well Secured System using AI Algo Based Systems
- Creator
- Tandon A.; Anitha C.; Kataria A.; Mohammed N.Q.; Al-Khuzaie M.Y.; Almulla A.A.
- Description
- It is true the banking sector is increasingly under pressure to tighten security in an ever-changing digital arena, even as the customer experience needs to be strengthened. Thus, the use of biometric authentication through enhanced AI-driven systems that would enhance the security protocols while at the same time smoothening the users' interactions was a promising way in response. The paper that follows explores the integration of biometric authentication within banking systems in a bid to make clear its effectiveness in relation to reinforcing security and enhancing user experience. Accordingly, bijson etal. argue that biometric security fits perfectly in banks, since with the increasing cyber threats, banks are bound to deploy more advanced security mechanisms. These traditional means, suchjson, use of passwords and PINs, have shown vulnerabilities that are liable to exploitation and should be changed into something much more resilient. The authentication under biometrics also validates a user's identity by basing it on unique physiological or behavioral traits, such as a fingerprint, features of the face, patterns of the iris, and the voice. Biometric systems authenticate users with a very high level of confidence through AI-based algorithms, averting the security risks associated with unauthorized access and identity theft. Further, biometric authentication overcomes the flaws that prevail with the traditional mode of methods and hence, it ensures a very comfortable and user-friendly mode of system security. 2024 IEEE.
- Source
- 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2024, pp. 962-967.
- Date
- 2024-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- AI-driven systems; Banking; Biometric authentication; Ethical considerations; Facial recognition; Fingerprint recognition; Regulatory compliance; Security; User experience; Voice authentication
- Coverage
- Tandon A., Jagannath International Management School, Department of It, Vasant Kunj, New Delhi, India; Anitha C., Mohan Babu University Erstwhile Sree Vidyanikethan Engineering College, Department of Computer Science and Engineering, Tirupati, India; Kataria A., Christ Deemed to Be University, School of Business and Management, Bangalore, India; Mohammed N.Q., AL-Nisour University College, Department of Medical Laboratories Technology, Baghdad, Iraq; Al-Khuzaie M.Y., National University of Science and Technology, College of Health and Medical Technology, Dhi Qar, Iraq; Almulla A.A., Al-Hadi University College, Baghdad, Iraq
- Rights
- Restricted Access
- Relation
- ISBN: 979-835036016-5
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Tandon A.; Anitha C.; Kataria A.; Mohammed N.Q.; Al-Khuzaie M.Y.; Almulla A.A., “Allometry Authentication in the Field of Finance: Creation of Well Secured System using AI Algo Based Systems,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19306.