Optimized K-Means Clustering for Web Server Anomaly Detection Using Elbow Method and Security-Rule Enhancements

Anomaly detection in web server environments is essential for identifying early indicators of cyberattacks that arise from abnormal request behaviors. Traditional signature-based mechanisms often fail to detect emerging or obfuscated threats, requiring more adaptive analytical approaches. This stud...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Rahmawan Bagus Trianto, Muhammad Abdul Muin, Cahya Vikasari
Format:	Artigo
Jezik:	Inglês
Izdano:	Asosiasi Doktor Sistem Informasi Indonesia 2025-12-01
Serija:	Journal of Information Systems and Informatics
Teme:	anomaly detection web server logs K-Means Elbow Method security rules
Online dostop:	https://journal-isi.org/index.php/isi/article/view/1391
Oznake:	Označite Brez oznak, prvi označite!