Approach for selecting the most suitable Automated Personal Identification Mechanism. / Palmer, Anthony.

In: Computers and Security, Vol. 29, No. 7, Palmer:2010:ASM:2622679.2622943, 01.10.2010, p. 785-806.

Research output: Contribution to journalArticle

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Approach for selecting the most suitable Automated Personal Identification Mechanism. / Palmer, Anthony.

In: Computers and Security, Vol. 29, No. 7, Palmer:2010:ASM:2622679.2622943, 01.10.2010, p. 785-806.

Research output: Contribution to journalArticle

Harvard

Palmer, A 2010, 'Approach for selecting the most suitable Automated Personal Identification Mechanism', Computers and Security, vol. 29, no. 7, Palmer:2010:ASM:2622679.2622943, pp. 785-806. https://doi.org/10.1016/j.cose.2010.003.002

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Author

Palmer, Anthony. / Approach for selecting the most suitable Automated Personal Identification Mechanism. In: Computers and Security. 2010 ; Vol. 29, No. 7. pp. 785-806.

BibTeX

@article{74f07acabc0a451698a6b37f18226757,
title = "Approach for selecting the most suitable Automated Personal Identification Mechanism",
abstract = "Automated Personal Identification Mechanisms (APIMs), used in the identification of individuals, operate in diverse environments ranging from border control policing to on-line banking. APIM solutions, however, have vulnerabilities and some attract societal issues. In this paper we describe ASMSA, a qualitative approach for selecting the most suitable mechanism to automatically identify individuals for a given context. ASMSA determines the optimum APIM by prioritising stakeholders' objectives and mapping these to comprehensive requirements in order to articulate suitability as measurable attributes. ASMSA includes an evaluation framework and a selection method that builds on our earlier work, which established over 200 criteria to evaluate APIMs. ASMSA's selection method includes Multiple-Stakeholder Processes (MSPs) and the use of Multi-Objective Multi-Criteria (MOMC) decision-making techniques. ASMSA is designed to ensure that relevant stakeholders' needs and preferences are considered effectively prior to the assessment of candidate solutions.",
keywords = "Automated Personal Identification, Biometric Identification, Biometric Verification, Identity Management Systems, Multi-objective, Multi-criteria, Multiple Stakeholder Processes, User Authentication",
author = "Anthony Palmer",
year = "2010",
month = "10",
day = "1",
doi = "10.1016/j.cose.2010.003.002",
language = "English",
volume = "29",
pages = "785--806",
journal = "Computers and Security",
issn = "0167-4048",
publisher = "Elsevier Limited",
number = "7",

}

RIS

TY - JOUR

T1 - Approach for selecting the most suitable Automated Personal Identification Mechanism

AU - Palmer, Anthony

PY - 2010/10/1

Y1 - 2010/10/1

N2 - Automated Personal Identification Mechanisms (APIMs), used in the identification of individuals, operate in diverse environments ranging from border control policing to on-line banking. APIM solutions, however, have vulnerabilities and some attract societal issues. In this paper we describe ASMSA, a qualitative approach for selecting the most suitable mechanism to automatically identify individuals for a given context. ASMSA determines the optimum APIM by prioritising stakeholders' objectives and mapping these to comprehensive requirements in order to articulate suitability as measurable attributes. ASMSA includes an evaluation framework and a selection method that builds on our earlier work, which established over 200 criteria to evaluate APIMs. ASMSA's selection method includes Multiple-Stakeholder Processes (MSPs) and the use of Multi-Objective Multi-Criteria (MOMC) decision-making techniques. ASMSA is designed to ensure that relevant stakeholders' needs and preferences are considered effectively prior to the assessment of candidate solutions.

AB - Automated Personal Identification Mechanisms (APIMs), used in the identification of individuals, operate in diverse environments ranging from border control policing to on-line banking. APIM solutions, however, have vulnerabilities and some attract societal issues. In this paper we describe ASMSA, a qualitative approach for selecting the most suitable mechanism to automatically identify individuals for a given context. ASMSA determines the optimum APIM by prioritising stakeholders' objectives and mapping these to comprehensive requirements in order to articulate suitability as measurable attributes. ASMSA includes an evaluation framework and a selection method that builds on our earlier work, which established over 200 criteria to evaluate APIMs. ASMSA's selection method includes Multiple-Stakeholder Processes (MSPs) and the use of Multi-Objective Multi-Criteria (MOMC) decision-making techniques. ASMSA is designed to ensure that relevant stakeholders' needs and preferences are considered effectively prior to the assessment of candidate solutions.

KW - Automated Personal Identification

KW - Biometric Identification

KW - Biometric Verification

KW - Identity Management Systems

KW - Multi-objective

KW - Multi-criteria

KW - Multiple Stakeholder Processes

KW - User Authentication

UR - http://dx.doi.org/10.1016/j.cose.2010.03.002

U2 - 10.1016/j.cose.2010.003.002

DO - 10.1016/j.cose.2010.003.002

M3 - Article

VL - 29

SP - 785

EP - 806

JO - Computers and Security

JF - Computers and Security

SN - 0167-4048

IS - 7

M1 - Palmer:2010:ASM:2622679.2622943

ER -