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Graphical Authentication System to Resist Botnet

Author(s):

Kirthika S , KRISHNASAMY COLLEGE OF ENGINEERING & TECHNOLOGY; Shenbagavalli R, KRISHNASAMY COLLEGE OF ENGINEERING & TECHNOLOGY

Keywords:

Graphical Password, Random Pixel Selection, Local Directional Number Pattern, Security, Botnet Attack

Abstract

A botnet is a collection of Internet-connected user computers (bots) infected by malicious software. They can be used for many malicious purposes, including to steal user’s personal data and passwords, attack public and private networks. With web applications and mobile apps piling up, people can access these applications anytime and anywhere with various devices. This evolution brings great convenience but also increases the probability of exposing passwords to botnet attacks. To make user authentication more secure by avoiding alphanumeric string which users tend to choose passwords either short or meaningful for easy memorization. To overcome this problem, we conduct a comprehensive survey of the existing graphical password techniques and proposed a new technique, proposed a novel authentication system called random pixel selection based on graphical password. Thereby, graphical authentication system called Random Pixel Selection can be done as one-time login indicator. The server would generate an image for user from the preselected images. By using Local Directional Number pattern, the features of the image are compared with generated image whether it is the user’s preselected image or depredation. The proposed system achieves better resistance to Botnet attacks while maintaining usability.

Other Details

Paper ID: IJSRDV5I31131
Published in: Volume : 5, Issue : 3
Publication Date: 01/06/2017
Page(s): 1512-1515

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