Against spyware using CAPTCHA in graphical password scheme
Text-based password schemes have inherent security and usability problems, leading to the development of graphical password schemes. However, most of these alternate schemes are vulnerable to spyware attacks. We propose a new scheme, using CAPTCHA (Completely Automated Public Turing tests to tell C...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Published: |
IEEE
2010
|
| Online Access: | https://eprints.nottingham.ac.uk/1342/ |
| _version_ | 1848790589320986624 |
|---|---|
| author | Wang, Liming Chang, Xiuling Ren, Zhongjie Haichang, Gao Liu, Xiyang Aickelin, Uwe |
| author_facet | Wang, Liming Chang, Xiuling Ren, Zhongjie Haichang, Gao Liu, Xiyang Aickelin, Uwe |
| author_sort | Wang, Liming |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Text-based password schemes have inherent security and usability problems, leading to the development of graphical
password schemes. However, most of these alternate schemes are vulnerable to spyware attacks. We propose a new scheme, using CAPTCHA (Completely Automated Public Turing tests to tell Computers and Humans Apart) that retaining the advantages of graphical password schemes, while simultaneously raising the cost of adversaries by orders of magnitude. Furthermore, some primary experiments are conducted and the results indicate that the usability should be improved in the future work. |
| first_indexed | 2025-11-14T18:15:01Z |
| format | Article |
| id | nottingham-1342 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:15:01Z |
| publishDate | 2010 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-13422020-05-04T20:26:03Z https://eprints.nottingham.ac.uk/1342/ Against spyware using CAPTCHA in graphical password scheme Wang, Liming Chang, Xiuling Ren, Zhongjie Haichang, Gao Liu, Xiyang Aickelin, Uwe Text-based password schemes have inherent security and usability problems, leading to the development of graphical password schemes. However, most of these alternate schemes are vulnerable to spyware attacks. We propose a new scheme, using CAPTCHA (Completely Automated Public Turing tests to tell Computers and Humans Apart) that retaining the advantages of graphical password schemes, while simultaneously raising the cost of adversaries by orders of magnitude. Furthermore, some primary experiments are conducted and the results indicate that the usability should be improved in the future work. IEEE 2010 Article PeerReviewed Wang, Liming, Chang, Xiuling, Ren, Zhongjie, Haichang, Gao, Liu, Xiyang and Aickelin, Uwe (2010) Against spyware using CAPTCHA in graphical password scheme. International Conference on Advanced Information Networking and Applications, 24 . pp. 760-767. http://ieeexplore.ieee.org/Xplore/guesthome.jsp doi:10.1109/AINA.2010.46 doi:10.1109/AINA.2010.46 |
| spellingShingle | Wang, Liming Chang, Xiuling Ren, Zhongjie Haichang, Gao Liu, Xiyang Aickelin, Uwe Against spyware using CAPTCHA in graphical password scheme |
| title | Against spyware using CAPTCHA in graphical password scheme |
| title_full | Against spyware using CAPTCHA in graphical password scheme |
| title_fullStr | Against spyware using CAPTCHA in graphical password scheme |
| title_full_unstemmed | Against spyware using CAPTCHA in graphical password scheme |
| title_short | Against spyware using CAPTCHA in graphical password scheme |
| title_sort | against spyware using captcha in graphical password scheme |
| url | https://eprints.nottingham.ac.uk/1342/ https://eprints.nottingham.ac.uk/1342/ https://eprints.nottingham.ac.uk/1342/ |