A hybrid framework for detecting structured query language injection attacks in web-based applications

<p><span>Almost every web-based application is managed and operated through a number of websites, each which vulnerable to cyber-attacks that are mounted across the same networks used by applications, with much less risk attacker than physical attacks. Such attacks make use range modern techniques-such as structured query language injection (SQLi), cross-site scripting, data tampering-to achieve their aims. Among them, SQLi most popular attack, can be performed in one two ways; either an outsider organization (known outside attacker) or insider good knowledge system proper administrative rights inside attacker). An attacker, contrast outsider, take down easily pose significant challenge any organization, therefore needs identified advance mitigate possible consequences. Blockchain-based technique efficient approach detect widely these days. Thus, this study, hybrid method proposed combines SQL matching (SQLMT) standard blockchain framework created insiders. The results obtained computational experiments further validated using web validation tools.</span></p>