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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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2021-Jun-30
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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: 429 | Views: 2,158

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.


References | Cited By  «-- Click to see who has cited this paper

[1] F. Tari, A. A. Ozok, and S. H. Holden, "A comparison of perceived and real shoulder-surfing risks between alphanumeric and graphical passwords," in Proc. Symposium on Usable Privacy and Security, ser. SOUPS. ACM, 2006, pp. 56-66
[CrossRef] [SCOPUS Times Cited 142]


[2] M. Backes, M. Durmuth, and D. Unruh, "Compromising reflections-or-how to read LCD monitors around the corner," in IEEE Symposium on Security and Privacy, 2008, pp. 158-169.
[CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 67]


[3] M. Cagalj, T. Perkovic, M. Bugaric, "Timing attacks on cognitive authentication schemes," in IEEE Transactions on Information Forensics and Security, Vol. 10(3), pp. 584 - 596, 2015.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 16]


[4] L. Zhuang, F. Zhou, and J. D. Tygar, "Keyboard acoustic emanations revisited," in CCS: Proc. ACM Conf. Computer and Communications Security, 2005.
[CrossRef] [SCOPUS Times Cited 95]


[5] T. Perkovic, S. Li, A. Mumtaz, S. A. Khayam, Y. Javed, and M. Cagalj, "Breaking Undercover: exploiting design flaws and nonuniform human behavior," in SOUPS - Symposium On Usable Privacy and Security, 2011, p. 15.
[CrossRef] [SCOPUS Times Cited 9]


[6] D. Weinshall, "Cognitive authentication schemes safe against spyware (short paper)," in Proc. IEEE Symposium on Security and Privacy, ser. SP, 2006, pp. 295-300.

[7] P. Golle and D. Wagner, "Cryptanalysis of a cognitive authentication scheme (extended abstract)," in Proc. IEEE Symposium on Security and Privacy, ser. S&P, 2007, pp. 66-70.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 55]


[8] Q. Yan, J. Han, Y. LI, and R. Deng, H., "On limitations of designing usable leakage-resilient password systems: attacks, principles and usability," in Network & Distributed System Security Symposium (NDSS), Distinguisged Paper Award, 2012.

[9] V. Roth, K. Richter, and R. Freidinger, "A PIN-entry method resilient against shoulder surfing," in Proc. ACM Conf. Computer and Communications Security, ser. CCS. ACM, 2004, pp. 236-245.
[CrossRef] [SCOPUS Times Cited 200]


[10] M.-K. Lee, "Security notions and advanced method for human shoulder-surfing resistant PIN-entry," in IEEE Trans. Inf. Forensics and Security, vol. 9, no. 4, 2014.
[CrossRef] [Web of Science Times Cited 37] [SCOPUS Times Cited 48]


[11] A. D. Luca, K. Hertzschuch, and H. Hussmann, "ColorPIN: securing PIN entry through indirect input." in CHI. ACM, 2010.

[12] E. Zezschwitz, A. D. Luca, B. Brunkow and H. Hussmann, "SwiPIN: fast and secure PIN-entry on smartphones," in ACM Proceedings of the Conference on Human Factors in Computing Systems, CHI. pp. 1403-1406, 2015.
[CrossRef] [Web of Science Times Cited 37] [SCOPUS Times Cited 60]


[13] T. Kwon and J. Hong, "Analysis and improvement of a PIN-entry method resilient to shoulder-surfing and recording attacks", in IEEE Trans. Inf. Forensics and Security, vol. 10, no. 2, pp. 278-292, 2015.
[CrossRef] [Web of Science Times Cited 23] [SCOPUS Times Cited 33]


[14] A. Bianchi, I. Oakley, and D. S. Kwon, "The secure haptic keypad: a tactile password system," in Proc. SIGCHI Conf. Human Factors in Computing Systems, ser. CHI. ACM, 2010, pp. 1089-1092.
[CrossRef] [SCOPUS Times Cited 48]


[15] A. Bianchi, I. Oakley, and D.-S. Kwon, "Counting clicks and beeps: exploring numerosity based haptic and audio PIN entry." Interacting with Computers, vol. 24, no. 5, pp. 409-422, 2012.
[CrossRef] [Web of Science Times Cited 29] [SCOPUS Times Cited 39]


[16] A. Bianchi, "Spinlock: a single-cue haptic and audio PIN input technique for authentication." in Haptic and Audio Interaction Design, vol. 6851. Springer, 2011, pp. 81-90.
[CrossRef] [SCOPUS Times Cited 27]


[17] N. Hopper and M. Blum, "Secure human identification protocols," in Proc. Int. Conf. on the Theory and Application of Cryptology and Information Security: Advances in Cryptology, ser. ASIACRYPT, 2001.
[CrossRef] [SCOPUS Times Cited 376]


[18] S. Li and H.-Y. Shum, "Secure human-computer identification (interface) systems against peeping attacks: SecHCI. Cryptology ePrint Archive, Report 2005/268," 2005.

[19] H. J. Asghar, J. Pieprzyk, and H. Wang, "A new human identification protocol and coppersmith's baby-step giant-step algorithm." in Applied Cryptography and Network Security. Springer, 2010.
[CrossRef] [SCOPUS Times Cited 16]


[20] S. Wiedenbeck, J. Waters, L. Sobrado, and J.-C. Birget, "Design and evaluation of a shoulder-surfing resistant graphical password scheme," in Proc. Working Conf. Advanced Visual Interfaces, ser. AVI '06. ACM, 2006, pp. 177-184.
[CrossRef] [SCOPUS Times Cited 240]


[21] H. Zhao and X. Li, "S3PAS: A scalable shoulder-surfing resistant textual-graphical password authentication scheme," in Proc. Int. Conf. Advanced Information Networking and Applications Workshops - Volume 02, ser. AINAW, 2007.
[CrossRef] [SCOPUS Times Cited 104]


[22] R. Kuber and W. Yu, "Authentication using tactile feedback," in Interactive Experiences, HCI, London, UK, 2006.

[23] H. Sasamoto, N. Christin, and E. Hayashi, "Undercover: authentication usable in front of prying eyes," in Proc. Conf. Human Factors in Computing Systems, ser. CHI ’08, 2008.
[CrossRef] [SCOPUS Times Cited 73]


[24] A. De Luca, E. von Zezschwitz, and H. Hussmann, "VibraPass: secure authentication based on shared lies," in Proc. SIGCHI Conf. Human Factors in Computing Systems, ser. CHI. ACM, 2009, pp. 913-916.
[CrossRef] [SCOPUS Times Cited 73]


[25] M. Hasegawa, N. Christin, and E. Hayashi, "New directions in multisensory authentication," in Proc. Int. Conf. Pervasive Computing (Pervasive), 2009.
[CrossRef]


[26] H. J. Asghar, R. Steinfeld, S. Li, M. Ali Kaafar and J. Pieprzyk, "On the linearization of human identification protocols: attacks based on linear algebra, coding theory and lattices," in IEEE Transactions on Information Forensics and Security, Vol. 10, no. 8, pp. 1643-1655, 2015.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 7]


[27] L. Catuogno and C. Galdi, "A graphical PIN authentication mechanism with applications to smart cards and low-cost devices," in WISTP, Lecture Notes in Computer Science, 2008.
[CrossRef] [SCOPUS Times Cited 12]


[28] R. Whelan, "Effective analysis of reaction time data," The Psychological Record, vol. 58, pp. 475-482, 2008.



References Weight

Web of Science® Citations for all references: 208 TCR
SCOPUS® Citations for all references: 1,740 TCR

Web of Science® Average Citations per reference: 7 ACR
SCOPUS® Average Citations per reference: 60 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-09-17 00:07 in 155 seconds.




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