scholarly journals A Review on Methods for Prevention of SQL Injection Attack

Author(s):  
Sweta Raut ◽  
Akshay Nikhare ◽  
Yogesh Punde ◽  
Snehal Manerao ◽  
Shubham Choudhary

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

Author(s):  
KUO-LIANG CHUNG

Given a pattern of length m and a text of length n, commonly m≪n, this paper presents a randomized parallel algorithm for pattern matching in O(n1/10) (=O(n1/10+(n−m)1/10)) time on a newly proposed n3/5×n2/5 modular meshconnected computers with multiple buses. Furthermore, the time bound of our parallel algorithm can be reduced to O(n1/11) if fewer processors are used.


2017 ◽  
Vol 80 ◽  
pp. 162-170 ◽  
Author(s):  
Muhammad Tahir ◽  
Muhammad Sardaraz ◽  
Ataul Aziz Ikram

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