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JCR Impact Factor: 0.700
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Issues per year: 4
Current issue: Aug 2024
Next issue: Nov 2024
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APC: 300 EUR


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

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  2/2016 - 10

Optimizing Decision Tree Attack on CAS Scheme

PERKOVIC, T. See more information about PERKOVIC, T. on SCOPUS See more information about PERKOVIC, T. on IEEExplore See more information about PERKOVIC, T. on Web of Science, BUGARIC, M. See more information about  BUGARIC, M. on SCOPUS See more information about  BUGARIC, M. on SCOPUS See more information about BUGARIC, M. on Web of Science, CAGALJ, M. See more information about CAGALJ, M. on SCOPUS See more information about CAGALJ, M. on SCOPUS See more information about CAGALJ, M. on Web of Science
 
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Download PDF pdficon (1,372 KB) | Citation | Downloads: 996 | Views: 3,209

Author keywords
AC voltage regulator, buck-boost converter, PWM, THD

References keywords
security(15), human(10), authentication(10), systems(6), surfing(6), entry(6), secure(5), privacy(5), computing(5), attacks(5)
No common words between the references section and the paper title.

About this article
Date of Publication: 2016-05-31
Volume 16, Issue 2, Year 2016, On page(s): 69 - 74
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.02010
Web of Science Accession Number: 000376996100010
SCOPUS ID: 84974806863

Abstract
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In this paper we show a successful side-channel timing attack on a well-known high-complexity cognitive authentication (CAS) scheme. We exploit the weakness of CAS scheme that comes from the asymmetry of the virtual interface and graphical layout which results in nonuniform human behavior during the login procedure, leading to detectable variations in user's response times. We optimized a well-known probabilistic decision tree attack on CAS scheme by introducing this timing information into the attack. We show that the developed classifier could be used to significantly reduce the number of login sessions required to break the CAS scheme.


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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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