Open AccessA Review on Methods for Prevention of SQL Injection Attack
Author(s) -
Sweta Raut Prof.,
Akshay Nikhare,
Yogesh Punde,
Snehal Manerao,
Shubham Choudhary
Publication year - 2019
Publication title -
international journal of scientific research in science and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-602X
pISSN - 2395-6011
DOI - 10.32628/ijsrst196258
Subject(s) - sql injection , computer science , sql , stored procedure , web application , data transformation services , database , computer security , query by example , world wide web , search engine , web search query
Web applications generally interact with backend information to retrieve persistent data and then present the information to the user as dynamically generated output, like HTML websites. This communication is commonly done through a low–level API by dynamically constructing query strings within a general-purpose programming language. SQL Injection Attack (SQLIA) is one of the very serious threats to web applications. This paper is a review on preventing technique for a SQL injection attack which can secure web applications against SQLimplantation. This paper also demonstrates a technique for preventing SQL Injection Attack (SQLIA) using Aho–Corasick pattern matching algorithm