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Comparison And Implementation Of Random4Algorithm And Hirschberg Algorithm Using Open Source Software For Prevention Of SQL Injection Attack

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Advanced Computational Intelligence: An International Journal (ACII), 2 (2): 13 (April 2015)

Abstract

SQL injection attacks are easy way to attack the web applications and gain access to the private data in a database. Using different types of the SQL attacks one can easily gain access, modify the database or can even remove it. Details such as fields and table names are required for a hacker to modify a database. Hence, to provide the increased amount of security to users and their data, different types of techniques are used such as Random4 algorithm, which is based on randomization and used to encrypt the user input, Hirschberg algorithm which is a divide and conquer technique used to match the query pattern. In this paper we are providing a comparative study and implementation of these prevention techniques using open source software.

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