Multicriteria optimization to select images as passwords in recognition based graphical authentication systems

Soumyadeb Chowdhury; Ron Poet; Lewis  Mackenzie

doi:10.1007/978-3-642-39345-7_2

Multicriteria optimization to select images as passwords in recognition based graphical authentication systems

Soumyadeb Chowdhury, Ron Poet, Lewis Mackenzie

Aston Business School

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

Usability and guessability are two conflicting criteria in assessing thesuitability of an image to be used as password in the recognition based graph-ical authentication systems (RGBSs). We present the first work in this area that uses a new approach, which effectively integrates a series of techniques in order to rank images taking into account the values obtained for each of the dimen-sions of usability and guessability, from two user studies. Our approach uses fuzzy numbers to deal with non commensurable criteria and compares two multicriteria optimization methods namely, TOPSIS and VIKOR. The results suggest that VIKOR method is the most applicable to make an objective state-ment about which image type is better suited to be used as password. The paper also discusses some improvements that could be done to improve the ranking assessment.

Original language	English
Title of host publication	Human Aspects of Information Security, Privacy, and Trust
Subtitle of host publication	First International Conference, HAS 2013, Held as Part of HCI International 2013, Las Vegas, NV, USA, July 21-26, 2013. Proceedings
Editors	Louis Marinos, Ioannis Askoxylakis
Place of Publication	Berlin (DE)
Publisher	Springer
Pages	13-22
Number of pages	10
ISBN (Electronic)	978-3-642-39345-7
ISBN (Print)	978-3-642-39344-0
DOIs	https://doi.org/10.1007/978-3-642-39345-7_2
Publication status	Published - 2013
Event	1st International Conference on Human Aspects of Information Security, Privacy, and Trust: held as Part of HCI International 2013 - Las Vegas, NV, United States Duration: 21 Jul 2013 → 26 Jul 2013

Conference

Conference	1st International Conference on Human Aspects of Information Security, Privacy, and Trust
Abbreviated title	HAS 2013
Country/Territory	United States
City	Las Vegas, NV
Period	21/07/13 → 26/07/13

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10.1007/978-3-642-39345-7_2

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Chowdhury, S., Poet, R., & Mackenzie, L. (2013). Multicriteria optimization to select images as passwords in recognition based graphical authentication systems. In L. Marinos, & I. Askoxylakis (Eds.), Human Aspects of Information Security, Privacy, and Trust: First International Conference, HAS 2013, Held as Part of HCI International 2013, Las Vegas, NV, USA, July 21-26, 2013. Proceedings (pp. 13-22). Springer. https://doi.org/10.1007/978-3-642-39345-7_2

Chowdhury, Soumyadeb ; Poet, Ron ; Mackenzie, Lewis . / Multicriteria optimization to select images as passwords in recognition based graphical authentication systems. Human Aspects of Information Security, Privacy, and Trust: First International Conference, HAS 2013, Held as Part of HCI International 2013, Las Vegas, NV, USA, July 21-26, 2013. Proceedings. editor / Louis Marinos ; Ioannis Askoxylakis. Berlin (DE) : Springer, 2013. pp. 13-22

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title = "Multicriteria optimization to select images as passwords in recognition based graphical authentication systems",

abstract = "Usability and guessability are two conflicting criteria in assessing thesuitability of an image to be used as password in the recognition based graph-ical authentication systems (RGBSs). We present the first work in this area that uses a new approach, which effectively integrates a series of techniques in order to rank images taking into account the values obtained for each of the dimen-sions of usability and guessability, from two user studies. Our approach uses fuzzy numbers to deal with non commensurable criteria and compares two multicriteria optimization methods namely, TOPSIS and VIKOR. The results suggest that VIKOR method is the most applicable to make an objective state-ment about which image type is better suited to be used as password. The paper also discusses some improvements that could be done to improve the ranking assessment.",

author = "Soumyadeb Chowdhury and Ron Poet and Lewis Mackenzie",

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publisher = "Springer",

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Chowdhury, S, Poet, R & Mackenzie, L 2013, Multicriteria optimization to select images as passwords in recognition based graphical authentication systems. in L Marinos & I Askoxylakis (eds), Human Aspects of Information Security, Privacy, and Trust: First International Conference, HAS 2013, Held as Part of HCI International 2013, Las Vegas, NV, USA, July 21-26, 2013. Proceedings. Springer, Berlin (DE), pp. 13-22, 1st International Conference on Human Aspects of Information Security, Privacy, and Trust, Las Vegas, NV, United States, 21/07/13. https://doi.org/10.1007/978-3-642-39345-7_2

Multicriteria optimization to select images as passwords in recognition based graphical authentication systems. / Chowdhury, Soumyadeb; Poet, Ron; Mackenzie, Lewis .
Human Aspects of Information Security, Privacy, and Trust: First International Conference, HAS 2013, Held as Part of HCI International 2013, Las Vegas, NV, USA, July 21-26, 2013. Proceedings. ed. / Louis Marinos; Ioannis Askoxylakis. Berlin (DE): Springer, 2013. p. 13-22.

Research output: Chapter in Book/Published conference output › Conference publication

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AU - Mackenzie, Lewis

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N2 - Usability and guessability are two conflicting criteria in assessing thesuitability of an image to be used as password in the recognition based graph-ical authentication systems (RGBSs). We present the first work in this area that uses a new approach, which effectively integrates a series of techniques in order to rank images taking into account the values obtained for each of the dimen-sions of usability and guessability, from two user studies. Our approach uses fuzzy numbers to deal with non commensurable criteria and compares two multicriteria optimization methods namely, TOPSIS and VIKOR. The results suggest that VIKOR method is the most applicable to make an objective state-ment about which image type is better suited to be used as password. The paper also discusses some improvements that could be done to improve the ranking assessment.

AB - Usability and guessability are two conflicting criteria in assessing thesuitability of an image to be used as password in the recognition based graph-ical authentication systems (RGBSs). We present the first work in this area that uses a new approach, which effectively integrates a series of techniques in order to rank images taking into account the values obtained for each of the dimen-sions of usability and guessability, from two user studies. Our approach uses fuzzy numbers to deal with non commensurable criteria and compares two multicriteria optimization methods namely, TOPSIS and VIKOR. The results suggest that VIKOR method is the most applicable to make an objective state-ment about which image type is better suited to be used as password. The paper also discusses some improvements that could be done to improve the ranking assessment.

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Chowdhury S, Poet R, Mackenzie L. Multicriteria optimization to select images as passwords in recognition based graphical authentication systems. In Marinos L, Askoxylakis I, editors, Human Aspects of Information Security, Privacy, and Trust: First International Conference, HAS 2013, Held as Part of HCI International 2013, Las Vegas, NV, USA, July 21-26, 2013. Proceedings. Berlin (DE): Springer. 2013. p. 13-22 doi: 10.1007/978-3-642-39345-7_2

Multicriteria optimization to select images as passwords in recognition based graphical authentication systems

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