Jurnal Teknologi Informasi dan Multimedia
Vol. 8 No. 4 (2026): November

Deteksi dan Mitigasi Serangan Aplikasi Web Menggunakan Suricata IPS, Wazuh SIEM, dan Firewall

Ardiansyah Ardiansyah (Program Studi Ilmu Komputer, Universitas Bumigora, Indonesia)
Raisul Azhar (Program Studi Ilmu Komputer, Universitas Bumigora, Indonesia)
Lilik Widyawati (Program Studi Ilmu Komputer, Universitas Bumigora, Indonesia)



Article Info

Publish Date
08 Oct 2026

Abstract

Web applications have become a primary platform for delivering digital services but face security threats, particularly SQL Injection (SQLi) and Cross-Site Scripting (XSS). The limitations of conventional firewalls in detecting application-layer attacks highlight the need for automated detection and mitigation. This study evaluates an integrated security framework based on Suricata Intrusion Prevention System (IPS), Wazuh Security Information and Event Management (SIEM), and a firewall in a cloud environment. The Network Development Life Cycle (NDLC) method was implemented on Ubuntu Server and Damn Vulnerable Web Application (DVWA). Four attack scenarios were tested: Error-Based SQLi, Union-Based SQLi, Authentication Bypass SQLi, and XSS. Results showed that three scenarios (75%) were successfully detected, responded to, and blocked through Active Response. Suricata recorded seven detection events for Error-Based SQLi and four alerts each for Union-Based SQLi and XSS. Wazuh recorded alerts and executed Active Response for these scenarios, while the firewall blocked 281, 215, and 73 packets, respectively. Authentication Bypass SQLi generated 46 Suricata events and 15 Wazuh alerts but did not trigger Active Response or firewall blocking because SQLMap did not identify the username parameter as vulnerable. These findings demonstrate that integrating Suricata IPS, Wazuh SIEM, and a firewall supports auto-mated detection, analysis, and mitigation of web attacks through a defense-in-depth approach.

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Journal Info

Abbrev

jtim

Publisher

Subject

Computer Science & IT

Description

Cakupan dan ruang lingkup JTIM terdiri dari Databases System, Data Mining/Web Mining, Datawarehouse, Artificial Integelence, Business Integelence, Cloud & Grid Computing, Decision Support System, Human Computer & Interaction, Mobile Computing & Application, E-System, Machine Learning, Deep Learning, ...