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Graphical Password Authentication using image Segmentation for Web Based Applications

Journal: International Journal of Trend in Scientific Research and Development (Vol.3, No. 4)

Publication Date:

Authors : ;

Page : 1461-1464

Keywords : Electronics & Communication Engineering; Authentication; Graphical Passwords; Images Segmentation;

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Abstract

One of the most important topics in information security today is user authentication. User authentication is a fundamental component in most computer security contexts. It provides the basis for access control and user accountability. While there are various types of user authentication systems, alphanumeric passwords are the most common type of user authentication. They are versatile and easy to implement and use. However, it can either be long and secure or short and hard to remember. A graphical based password is one promising alternatives of textual passwords. According to human psychology, humans are able to remember pictures easily. In this paper, graphical passwords have been designed to try to make password more memorable and easier for people to use, and it is less vulnerable to brute force attacks than a text based password. The aim of the system is to implement a strong security. The proposed system segments the image like a grid, which has a maximum four fragments. Then, each segment of the image is dragged in a particular sequence onto an empty grid of size 6x6 and placed on a particular segment of the empty grid, to form the user' password. When the user logs into the system, the user needs to drag each segment of the image onto the same empty grid of size 6x6 in the correct sequence and position of the segments that user had specified during registration. Maw Maw Naing | Ohnmar Win "Graphical Password Authentication using image Segmentation for Web Based Applications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25184.pdf

Last modified: 2019-07-04 21:49:39