Jurnal Komputer Terapan
Vol 11 No 1 (2025): Jurnal Komputer Terapan

SISTEM DETEKSI AKTIVITAS BERBAHAYA PADA SERVER MENGGUNAKAN CROWDSEC

Ridha, Muhammad Arif Fadhly (Unknown)
Maheswara, Galih Ihsan (Unknown)



Article Info

Publish Date
16 Jun 2025

Abstract

The rapid development of technology has driven almost all business sectors to adopt digital operations, but this shift has also increased the risk of cybercrime, targeting systems and data. Cyber Threat Intelligence (CTI) is a cybersecurity approach that involves collecting, analyzing, and understanding data to identify the motives, targets, and attack patterns of cybercriminals. One solution to address these threats is CrowdSec, an open-source software designed to detect and prevent cyber-attacks in various environments, including servers. Testing results demonstrate that CrowdSec is effective in detecting SSH brute-force, port scanning, and SQL injection attacks. By identifying suspicious attack patterns and blocking attackers' IPs, CrowdSec significantly reduces the risk of server damage. Its response times are fast: 23 seconds for SSH brute-force, 10 seconds for port scanning, and 6 seconds for SQL injection. Compared to Fail2Ban, CrowdSec offers greater configuration flexibility and broader attack detection capabilities, supported by the CrowdSec Hub, which provides a variety of attack scenarios. With its simple installation and configuration process, CrowdSec is an ideal choice for enhancing server security.

Copyrights © 2025






Journal Info

Abbrev

jkt

Publisher

Subject

Computer Science & IT

Description

Applied Computer Journal Articles from various fields in Informatics, Information Systems and Computer science. Topics included, 1. Informatics 1.1 Software Engineering 1.2 Multimedia 2. Information Systems 2.1 Soft Computing 2.2 Business Analyst 2.3 Data Engineering 3. Computer science 3.1 ...