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Jeff Yan

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Publication statistics

Pub. period:2007-2011
Pub. count:4
Number of co-authors:7

Co-authors

Number of publications with 3 favourite co-authors:

Paul Dunphy:2
David Griffiths:1
Sacha Brostoff:1

Productive colleagues

Jeff Yan's 3 most productive colleagues in number of publications:

Patrick Olivier:39
Paul Dunphy:8
Sacha Brostoff:2

Calendar

May 20

CTS 2013 - The 2013 Intl. Conf. on Collaboration Techn. and Systems

May 22

Knowing (by) Designing 2013

May 27

13th Intl. Conf. on New Interfaces for Musical Expression

May 19

“ Design can be art. Design can be aesthetics. Design is so simple, that's why it is so complicated. ”

-- Paul Rand, 1997

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Jeff Yan

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Publications by Jeff Yan (bibliography)

2011

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Zakaria, Nur Haryani, Griffiths, David, Brostoff, Sacha and Yan, Jeff (2011): Shoulder surfing defence for recall-based graphical passwords. In: Proceedings of the 2011 Symposium on Usable Privacy and Security 2011. p. 6.

“Graphical passwords are often considered prone to shoulder-surfing attacks, where attackers can steal a user's password by peeking over his or her shoulder in the authentication process. In this paper, we explore shoulder surfing defence for recall-based graphical password systems such as Draw-A-Secret and Background Draw-A-Secret, where users doodle their passwords (i.e. secrets) on a drawing grid. We propose three innovative shoulder surfing defence techniques, and conduct two separate controlled laboratory experiments to evaluate both security and usability perspectives of the proposed techniques. One technique was expected to work to some extent theoretically, but it turned out to provide little protection. One technique provided the best overall shoulder surfing defence, but also caused some usability challenges. The other technique achieved reasonable shoulder surfing defence and good usability simultaneously, a good balance which the two other techniques did not achieve. Our results appear to be also relevant to other graphical password systems such as Pass-Go.”

2008

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Yan, Jeff and Ahmad, Ahmad Salah El (2008): Usability of CAPTCHAs or usability issues in CAPTCHA design. In: Proceedings of the 2008 Symposium on Usable Privacy and Security 2008. pp. 44-52.

“CAPTCHA is now almost a standard security technology, and has found widespread application in commercial websites. Usability and robustness are two fundamental issues with CAPTCHA, and they often interconnect with each other. This paper discusses usability issues that should be considered and addressed in the design of CAPTCHAs. Some of these issues are intuitive, but some others have subtle implications for robustness (or security). A simple but novel framework for examining CAPTCHA usability is also proposed.”

2007

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Lin, Di, Dunphy, Paul, Olivier, Patrick and Yan, Jeff (2007): Graphical passwords & qualitative spatial relations. In: Proceedings of the 2007 Symposium on Usable Privacy and Security 2007. pp. 161-162.

“A potential drawback of graphical password schemes is that they are more vulnerable to shoulder surfing than conventional alphanumeric text passwords. We present a variation of the Draw-a-Secret scheme originally proposed by Jermyn et al [1] that is more resistant to shoulder surfing through the use of a qualitative mapping between user strokes and the password, and the use of dynamic grids to both obfuscate attributes of the user secret and encourage them to use different surface realizations of the secret. The use of qualitative spatial relations relaxes the tight constraints on the reconstruction of a secret; allowing a range of deviations from the original. We describe QDAS (Qualitative Draw-A-Secret), an initial implementation of this graphical password scheme, and the results of an empirical study in which we examined the memorability of secrets, and their susceptibility to shoulder-surfing attacks, for both Draw-A-Secret and QDAS.”

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Dunphy, Paul and Yan, Jeff (2007): Is FacePIN secure and usable?. In: Proceedings of the 2007 Symposium on Usable Privacy and Security 2007. pp. 165-166.

“Personal identification numbers (PINs) and hardware tokens are often used together for authentication purposes, e.g., in financial transactions with ATM machines. However, many people cannot remember their PINs. This has caused insecure practice, extra management cost, or both. In this paper, we evaluate FacePIN, a solution proposed to improve the security and memorability of the PIN scheme.”

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