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2022-04-19
Tanakas, Petros, Ilias, Aristidis, Polemi, Nineta.  2021.  A Novel System for Detecting and Preventing SQL Injection and Cross-Site-Script. 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET). :1–6.
SQL Injection and Cross-Site Scripting are the two most common attacks in database-based web applications. In this paper we propose a system to detect different types of SQL injection and XSS attacks associated with a web application, without the existence of any firewall, while significantly reducing the network overhead. We use properly modifications of the Nginx Reverse Proxy protocols and Suricata NIDS/ IPS rules. Pure work has been done from other researchers based on the capabilities of Nginx and Suricata and our approach with the experimental results provided in the paper demonstrate the efficiency of our system.