Detecting anomalous Web server usage through mining access logs (CROSBI ID 600110)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Gržinić, Toni ; Kišasondi, Tonimir ; Šaban, Josip
engleski
Detecting anomalous Web server usage through mining access logs
Most operating systems services generate log files that can be used for debugging and supervision. One important function of log files is logging security related or debug information, for example logging unsuccessful authentication or error logging. This paper shows how to implement an anomaly detection process of web server’s unexpected events using the the Apache web server’s logs and applying supervised machine learning algorithms to extracted features. Also, we compare the classification performance of several algorithms that can be easily implemented in real-world scenarios.
anomaly detection ; access logs ; Apache web server
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Podaci o prilogu
228-296.
2013.
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objavljeno
Podaci o matičnoj publikaciji
24th Central European Conference on Information and Intelligent Systems
Tihomir Hunjak, Sandra Lovrenčić, Igor Tomičić
Varaždin: Fakultet organizacije i informatike Sveučilišta u Zagrebu
Podaci o skupu
Central European Conference on Information and Intelligent Systems
predavanje
18.09.2013-20.09.2013
Varaždin, Hrvatska