Stealing PINs via mobile sensors: actual risk versus user perception
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 237652-163219-1292
- Type
- D - Journal article
- DOI
-
10.1007/s10207-017-0369-x
- Title of journal
- International Journal of Information Security
- Article number
- -
- First page
- 291
- Volume
- 17
- Issue
- 3
- ISSN
- 1615-5262
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2017
- URL
-
https://doi.org/10.1007/s10207-017-0369-x
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
E - Secure and Resilient Systems
- Citation count
- 9
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The first author won the best PhD research award at ACE-CSR’16, and Newcastle University’s research impact award (£5K). With acknowledgement to this paper, Mozilla Firefox deployed a fix on Firefox (CVE-2016-2813), Apple included a fix on Safari (CVE-2016-1780), and W3C released a new version of the motion and orientation spec. This research was widely featured by the international media, including Guardian, BBC, Telegraph, Economic Times, Science Friday, Deutschlandfunk, Sina (largest Chinese web portal), and Lavoz (leading Spanish newspaper). The paper was downloaded 10,000 times within a week of its publication, and has Altmetric score of 1202 (https://springeropen.altmetric.com/details/18717318/news).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -