A novel framework for security through color matching technique
Journal Title: International Scientific Research Organization Journal - Year 2016, Vol 1, Issue 5
Abstract
Objectives: Pen Test is an endorsed attempt to infringe specific constraints stated in the form of a security or integrity policy. This testing technique for discovering, understanding, and documenting all the security holes that can be found in the system, network and web application. Detecting the authorized user and preventing from the Password and shoulder surfing attacks. Provides more security than the traditional approaches. Methods: Securing confidential data such as financial, banking transactions etc., password security is not enough, we need additional authentication. Here, we have constructed a prototype model for web application security using Color Matching Random key Generation using penetration testing. Here, we generate random numbers so that the authorized user may apply this number (key) into the color matching cognitive process. Otherwise caution alert is sent to the users valid mail-id. This way of color matching technique by random key generation method of authentication will find the authorized user and it prevents the password hacking and shoulder surfing attack. We also devise a defense technique in the modeling paradigm to deteriorate severely the perceptual performance of the adversaries while preserving that of the user. Findings: In this paper, we generate and implemented new color matching techniques using penetration testing. We secure the web application by additional security using multilayer architecture. Our process of Penetration testing security is concerned with Password security, Random PIN number generation and to Give alert if unauthorized user hack or compromise the application's security. Improvements: To the best of our knowledge, this is the first work to model and defend the new form of attack through human performance modeling in web applications. It provides multi tire security to prevent the new passive attack namely Shoulder surfing and password attacks.
Authors and Affiliations
M. Parameswari, Dr. T. Krishna Kumar
Keywords
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