New Strategy for Mitigating of SQL Injection Attack
Author(s) -
Ammar Alazab,
Ansam Khresiat
Publication year - 2016
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2016911974
Subject(s) - computer science , sql injection , sql , computer security , database , world wide web , query by example , search engine , web search query
SQL injection attack (SQLIA) is a serious threat to web applications. A successful SQLIAs can have serious consequences to the victimized organization that include financial lose, reputation lose, compliance and regulatory breach. Therefore, developing approaches for mitigating SQLIA is paramount important. To this end, we propose an approach based on negative tainting along with SQL keyword analysis for detecting and preventing SQLIA. We have tested our proposed approach on all types of SQLIAs techniques by generating SQL queries containing legitimate SQL commands and SQLIA. We present an analysis and evaluation of the proposed approach to demonstrate its effectiveness in detecting and protecting SQLIA attack.
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