User Authentication Secure by Randomly Cubic Spline Curve and Blum Blum Shub Algorithm

Abstract

With the tremendous development witnessed by the world in recent times, computer security significance expanded as insurance procedure of registering systems and authentication the user with scientific and technological developments are increasing every day. This assurance procedure is connected for touchy information such of electronic business, electronic learning, and electronic saving money exchange, online networking and more administrations over the web by utilizing login application to distinguish the character for doing this authentication. The problem by using some application login how to detected the user authentic and experimental data collection and separated the duplicated name that may be Confusion the system with speed detected and difficult attack. This paper solve this problem by used Cubic spline to easy represented name and easy detected by distance Euclidean equation, authentication techniques utilized as insurance process by securing name mix with Blum Blum Shub (BBS) algorithm that have randomly number. In this work, the application is founded on type name that the combine with (BBS) and represented by cubic spline, to detected user. The result of proposed work require randomly number to drawing the curve to detect and how much the different shape in cubic spline curve that can be detected. Assurance gives affirmation distinguished suitable security and all the more effortlessly least complex that developing popular in the online application that shows in result some portion of the paper