Handling IDN Homograph Attack using Facial Expression Password
Kalpana1, Preeta Rajiv Sivaraman2, Rishabh Kumar3

1Kalpana, Assistant Professor, Department of BCA, Jims Engineering Management Technical Campus, Greater Noida (Uttar Pradesh), India.
2Preeta Rajiv Sivaraman, Assistant Professor, Department of BCA, KCC Institute of Legal and Higher Education, Greater Noida (Uttar Pradesh), India.
3Rishabh Kumar, Student, Department of BCA, Jims Engineering Management Technical Campus, Greater Noida (Uttar Pradesh), India.
Manuscript received on 05 August 2019 | Revised Manuscript received on 28 August 2019 | Manuscript Published on 05 September 2019 | PP: 467-471 | Volume-8 Issue-2S7 July 2019 | Retrieval Number: B10880782S719/2019©BEIESP | DOI: 10.35940/ijrte.B1088.0782S719
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: With the advancement of technology and its applications in diverse areas, people are able to get access of the desired information, exchange ideas and connect with the world. But one of the areas of concern is that user shares personal information for example images, videos, sharing location etc. on various social networking websites very frequently. Another important aspect is sharing financial information for various activities such as payments and purchases which is misused using phishing attacks. There are different variety of attacks that one may come across. The objective of this paper is to make people aware of the increasing fishing attacks such as IDN and how using latest authentication technique of Facial Recognition system one record various facial expressions to secure himself from such attacks since only the user is aware what facial expression he/she has recorded for a particular website.
Keywords: Phishing, IDN, Facial Recognition System.
Scope of the Article: Image Processing and Pattern Recognition