A Visual Model for Web Applications Security Monitoring
Tran Tri Dang, Tran Khanh Dang

TL;DR
This paper introduces a visual model that enhances human understanding of web application security, complementing automated intrusion detection with visualization techniques to improve monitoring effectiveness.
Contribution
It presents a novel visual monitoring model that aids human operators in understanding complex web security structures, supported by a prototype implementation and testing results.
Findings
Proves the model's usefulness in understanding security structure
Demonstrates improved monitoring effectiveness
Supports human-assisted security analysis
Abstract
This paper proposes a novel visual model for web applications security monitoring. Although an automated intrusion detection system can shield a web application from common attacks, it usually cannot detect more complicated break-ins. So, a human-assisted monitoring system is an indispensable complement, following the "Defense in depth" strategy. To support human operators working more effectively and efficiently, information visualization techniques are utilized in this model. A prototype implementation of this model is created and is used to test against a popular open source web application. Testing results prove the model's usefulness, at least in understanding the web application security structure.
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Taxonomy
TopicsWeb Data Mining and Analysis · Data Visualization and Analytics · Digital and Cyber Forensics
