- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
A Proposed Hybrid Fingerprint, Image Fusion and Visual Cryptography Technique for Anti-Phishing | ||
| Al-Rafidain University College For Sciences | ||
| Article 1, Volume 0, Issue 39, 2017, Pages 328-348 | ||
| Author | ||
| Rajaa K. Hasoun | ||
| Abstract | ||
| This paper proposes an anti-phishing web site system it is carried out by the two following stages: Registration phase; the user enters username and password then (his/her) fingerprint, server site selects virtual fingerprint image. The fusion will be applied to fuse real fingerprint with virtual one, fused image will be input to visual cryptography(VC) scheme to produce two shares, one share kept with user in addition to fuse image, and other shares are kept with the server. Authentication phase; in this phase the user enters the password and is asked to enter the fingerprint. Pattern recognition is done to determine if it is hacker or authenticated user, when the server accepts the fingerprint the user will be required to input (his/her) share, so the user share is stacked with server share and generated image is displayed. The user will decide if it’s a phishing site or not depending on the displayed image (after matching it with the image that the server shared through registration phase). From many experimental works conducted on the proposal, we notice the strength is centered in image fusion. Where the fused fingerprint images have higher quality (entropy) than the single fingerprint image, that increases randomness of the VC shares which are extracted from the fused fingerprint. | ||
| Keywords | ||
| Fingerprint; phishing attack; visual cryptography and image fusion | ||
|
Statistics Article View: 36 PDF Download: 1 |
||