VISUALIZATION AS SUPPORT FOR WEB HONEYPOT DATA ANALYSIS

The paper presents methodologies associated with visualization, which supports data analysis. Analyzed data has been gathered by HoneyPot systems deployed in the network of Institute of Computer Science. Due to the vast amounts of data, the manual analysis was almost impossible and very impractical, also considering time constraints. Introduced visualization techniques and supporting filtering features are implemented in HPMS (HoneyPot Management System). The paper describes in details two introduced methodologies which support data analysis using both charts and graphs. The first one is used for the discovery of basic activities observed by HoneyPot. The second one is used for advanced analysis of machines used during attacks concerning PhpMyAdmin software.