Knowledge-based authentication

Known as: KBA, Secret answer, Secret question 
Knowledge-based authentication, commonly referred to as KBA, is a method of authentication which seeks to prove the identity of someone accessing a… (More)
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Credit bureauIdentity InterrogationIdentity verification serviceOutline of computer security
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Papers overview

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2017
2017
Stay Cool! Understanding Thermal Attacks on Mobile-based User Authentication
PINs and patterns remain among the most widely used knowledge-based authentication schemes. As thermal cameras become ubiquitous… (More)
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2013
2013
Knowledge based authentication requirements
Published evaluation criteria for knowledge based authentication (KBA) methods do not provide a sufficiently formed framework to… (More)
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2013
2013
SNIPPET: Genuine knowledge-based authentication
Authentication is traditionally performed based on what you know, what you hold or what you are. The first is the most popular… (More)
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Highly Cited
2012
Highly Cited
2012
Persuasive Cued Click-Points: Design, Implementation, and Evaluation of a Knowledge-Based Authentication Mechanism
This paper presents an integrated evaluation of the Persuasive Cued Click-Points graphical password scheme, including usability… (More)
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2012
2012
Using important plant areas and important bird areas to identify Key Biodiversity Areas in the Republic of Macedonia
An attempt is made to identify Key Biodiversity Areas in the Republic of Macedonia through the identification of internationally… (More)
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2007
2007
Bayesian Networks for Knowledge-Based Authentication
Knowledge-based authentication (KBA) has gained prominence as a user authentication method for electronic transactions. This… (More)
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Highly Cited
2005
Highly Cited
2005
Is a picture really worth a thousand words? Exploring the feasibility of graphical authentication systems
The weakness of knowledge-based authentication systems, such as passwords and Personal Identification Numbers (PINs), is well… (More)
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Highly Cited
2005
Highly Cited
2005
KBA: kernel boundary alignment considering imbalanced data distribution
An imbalanced training data set can pose serious problems for many real-world data mining tasks that employ SVMs to conduct… (More)
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Highly Cited
2000
Highly Cited
2000
Deja Vu-A User Study: Using Images for Authentication
Current secure systems suffer because they neglect the importance of human factors in security. We address a fundamental weakness… (More)
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1997
1997
Matching 3-D Models to 2-D Images
We consider the problem of analytically characterizing the set of all 2-D images that a group of 3-D features may produce, and… (More)
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