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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao International Journa...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
International Journal of Accounting Information Systems
Article . 2006 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2006
Data sources: DBLP
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Modeling an intelligent continuous authentication system to protect financial information resources

Authors: Thomas G. Calderon; Akhilesh Chandra; John J. Cheh;

Modeling an intelligent continuous authentication system to protect financial information resources

Abstract

Abstract This paper examines fundamental principles of continuous authentication (CA) and proposes a four-tier CA architecture to secure financial information systems. We define CA as a process that verifies the identity of an information systems user continuously for the entire duration of an authorized session. While organizations can, in theory, strengthen the security of their financial information systems through CA, several challenges need to be addressed in designing a CA architecture. A primary challenge involves the constantly changing user profiles in globally networked business environments. Profile content may include user knowledge and characteristics, access location, job characteristics, and transaction attributes. We propose swarm intelligence, which has the capacity to handle complex profile changes, as a technology for implementing CA in a dynamic, distributed network environment where user profiles are constantly changing. The paper explores model implementation challenges and discusses opportunities for future research.

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Average
Top 10%
Average
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