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Identity verification using resting state brain signals

Palaniappan, Ramaswamy and Patnaik, L.M. (2007) Identity verification using resting state brain signals. In: Encyclopedia of Information Ethics and Security. IGI Global, pp. 335-341. ISBN 978-1-59140-987-8. (doi:10.4018/978-1-59140-987-8.ch050) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.4018/978-1-59140-987-8.ch050

Abstract

In the last several decades, computers or automated technologies have been utilized to verify the identity of humans using biometrics (i.e., physical and behavioral characteristics) (Wayman, Jain, Maltoni, & Maio, 2004), as it often surpasses the conventional automatic identity verification measures like passwords and personal identification numbers (PINs) by offering positive human identification. For example, the use of a PIN actually denotes the automatic identification of the PIN, not necessarily identification of the person who has provided it. The same applies with cards and tokens, which could be presented by anyone who successfully steals the card or token. PINs and passwords also have the problem of being compromised by ‘shoulder surfing’ and people picking the obvious choices. Even the recently proposed graphical passwords share similar problems.

Item Type: Book section
DOI/Identification number: 10.4018/978-1-59140-987-8.ch050
Additional information: Unmapped bibliographic data: LA - English [Field not mapped to EPrints] J2 - Encyclopedia of Info. Ethics and Secty. [Field not mapped to EPrints] AD - University of Essex, United Kingdom [Field not mapped to EPrints] AD - Indian Institute of Science, India [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Book Chapter [Field not mapped to EPrints]
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 15 Dec 2018 17:04 UTC
Last Modified: 30 May 2019 08:29 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70721 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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