The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Evaluation of Risk-Based Re-Authentication Methods
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“This threat model is realistic as in practice, keyloggers have been widely used to steal user passwords [78].”
From Evaluating the Security Posture of Real-World FIDO2 Deployments (2023) · cites this paper as [78]
In the citing paper
“Similar social engineering downgrade attacks have been demonstrated previously at the RP level [79].”
From Evaluating the Security Posture of Real-World FIDO2 Deployments (2023) · cites this paper as [79]
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Methods of coping with social desirability bias: A review
Nederhof, A. J. (1985) · European Journal of Social Psychology · doi:10.1002/ejsp.2420150303 · Cited by 2,340 · cited 1×
“e participants registered on the study website with username and password. The website was reachable via HTTPS via an internet domain not linked to our university to mitigate social desirability bias [22]. After registering, the participants tried logging into the website. After submitting the correct login credential…”
Research works printed but not linked: 18
- Abbey, J.D., Meloy, M.G.: Attention by design: using attention checks to detect inattentive respondents and improve data quality. JOM 53–56(1), 63–70 (2017) · DOI · Paper page
- Chan, J.C.: Response-order effects in Likert-type scales. Educ. Psychol. Measur. 51(3), 531–540 (1991) · DOI
- Crawford, H., Renaud, K.: Understanding user perceptions of transparent authentication on a mobile device. J. Trust Manag. 1(1), 1–28 (2014). https://doi.org/10.1186/2196-064X-1-7 · DOI
- De Cristofaro, E., Du, H., Freudiger, J., Norcie, G.: A comparative usability study of two-factor authentication. In: USEC 2014, February 2014 · DOI
- Doerfler, P., et al.: Evaluating login challenges as a defense against account takeover. In: WWW 2019 (2019) · DOI · Paper page
- Freeman, D., Jain, S., Dürmuth, M., Biggio, B., Giacinto, G.: Who are you? A statistical approach to measuring user authenticity. In: NDSS 2016, February 2016 · DOI · Paper page
- Golla, M., et al.: “What was that site doing with my Facebook password?": designing password-reuse notifications. In: CCS 2018 (2018) · DOI
- Grassi, P.A., et al.: Digital identity guidelines. Technical report NIST SP 800–63b (2017) · DOI
- Hara, K., et al.: A data-driven analysis of workers’ earnings on Amazon mechanical turk. In: CHI 2018 (2018) · DOI · Paper page
- Hartley, J.: Some thoughts on Likert-type scales. Int. J. Clin. Health Psychol. 14(1), 83–86 (2014) · DOI
- Kalton, G., Schuman, H.: The effect of the question on survey responses. J. Roy. Stat. Soc. Ser. A (Gen.) 145(1), 42 (1982) · DOI
- Miller, G.A.: WordNet. Commun. ACM 38(11), 39–41 (1995) · DOI · Paper page
- Mohammad, S.M., Turney, P.D.: Crowdsourcing a word-emotion association lexicon. Computat. Intell. 29(3), 436–465 (2013) · DOI
- Sheng, S., et al.: Who falls for phish?: a demographic analysis of phishing susceptibility and effectiveness of interventions. In: CHI 2010 (2010) · DOI · Paper page
- Thomas, K., et al.: Protecting accounts from credential stuffing with password breach alerting. In: USENIX Security 2019, August 2019
- Wiefling, S., Lo Iacono, L., Dürmuth, M.: Is this really you? An empirical study on risk-based authentication applied in the wild. In: Dhillon, G., Karlsson, F., Hedström, K., Zúquete, A. (eds.) SEC 2019. IAICT, vol. 562, pp. 134–148. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22312-0_10 · DOI
- Yin, M., Suri, S., Gray, M.L.: Running out of time: the impact and value of flexibility in on-demand crowdwork. In: CHI 2018 (2018) · DOI
- Zajonc, R.B.: Attitudinal effects of mere exposure. JPSP 9(2, Pt.2), 1–27 (1968)
Cited by
Sorted by citations
Evaluating the Security Posture of Real-World FIDO2 Deployments
Kuchhal, D., Saad, M., Oest, A., & Li, F. (2023) · Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/3576915.3623063 · Cited by 22
“We propose that the security community investigate augmenting existing authentication risk models [51, 63, 82, 84] to include additional risk signals on whether a FIDO2 authentication attempt was initiated by the intended user.”
Background
Metadata
- Authors
- Wiefling, S., Patil, T., Dürmuth, M., & Lo Iacono, L.
- Affiliations
- Hochschule Bonn-Rhein-Sieg (DE)
- University of North Carolina at Charlotte (US)
- Ruhr University Bochum (DE)
- Corresponding author
- Wiefling, Stephan
- Venue
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer International Publishing
- Published
- 2020
- Volume
- AICT-580
- Pages
- 280-294
- ISSN
- 1868-422X (ISSN-L)
- 1868-4238
- OpenAlex
- W3068296915
- Cited by
- 15
- References
- 1
- Citations by year
- 2026: 1 · 2024: 2 · 2023: 5 · 2022: 3 · 2021: 4
- FWCI
- 2.28
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- IFIP advances in information and communication technology (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- HAL (submittedVersion, cc-by)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Authentication Protocols Security
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Keywords
- risk-based authentication, re-authentication, email-based authentication, password authentication, credential stuffing, phishing, password guessing, usability, perceived security, user anxiety, time exposure
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