Graphical Password Authentication

Project Code :TCMAPY701

Objective

The main objective of the system is to combine graphical and text-based passwords trying to achieve the best of both worlds.

Abstract

A graphical password is an authentication system that works by having the user select from images, in a specific order, presented in a graphical user interface (GUI). For this reason, the graphical-password approach is called graphical user authentication (GUA). The most common computer authentication method is to use alphanumerical usernames and passwords. This method has been shown to have significant disadvantages. For e.g, users tend to choose passwords that can be easily guessed. On the other hand, if a password is difficult to guess, then it is often difficult to remember. To overcome this problem of low security, Authentication methods are developed by researchers that use images as password. In this research paper, we conduct a comprehensive survey of the existing graphical password techniques and provide a possible theory of our own. Graphical password schemes have been proposed as a possible alternative to text-based schemes, by the fact that humans can remember pictures better than text; Pictures are generally easier to be remembered or recognized than text.

Keywords: Password, Graphical, Authentication. 

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

H/W System Configuration:-

  • Processor:I3/Intel Processor
  • RAM :4GB (min)
  • Hard Disk:160GB
  • Key Board: Standard Windows Keyboard
  •  Mouse : Two or Three Button Mouse
  •  Monitor:  SVGA

 

S/W System Configuration:-

  • Operating System:   Windows 10                
  • Front End :   HTML, CSS, BOOTSRAP
  • Scripts:   JavaScript, Jquery.
  • Server side Script:   Python
  • Framework:   Django, Flask
  • Database:   My SQL.

Learning Outcomes

SOFTWARE SPECIFICATIONS:

  • Technology: Python.
  • operating system: Windows 7/8/10/11
  • Libraries: Pandas, Numpy, Flask
  • Version: Python 3.6+
  • Server-side scripts: HTML, CSS, JS
  • Frame works: Flask
  • IDE: Pycharm

HARDWARE SPECIFICATIONS:

  • RAM: 8GB, 64 bit os.
  • Processor: I3/Intel processor
  • Hard Disk Capacity: 128 GB +

Demo Video

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