Title
Large-Scale Network Monitoring for Visual Analysis of Attacks
Abstract
The importance of the Internet and our dependency on computer networks are steadily growing, which results in high costs and substantial consequences in case of successful intrusions, stolen data, and interrupted services. At the same time, a trend towards massive attacks against the network infrastructure is noticeable. Therefore, monitoring large networks has become an important field in practice and research. Through monitoring systems, attacks can be detected and analyzed to gain knowledge of how to better protect the network in the future. In the scope of this paper, we present a system to analyze NetFlow data using a relational database system. NetFlow records are linked with alerts from an intrusion detection system to enable efficient exploration of suspicious activity within the monitored network. Within the system, the monitored network is mapped to a TreeMap visualization, the attackers are arranged at the borders and linked using splines parameterized with prefix information. In a series of case studies, we demonstrate how the tool can be used to judge the relevance of alerts, to reveal massive distributed attacks, and to analyze service usage within a network.
Year
DOI
Venue
2008
10.1007/978-3-540-85933-8_11
VizSEC
Keywords
Field
DocType
network infrastructure,visual analysis,relational database system,massive attack,netflow data,netflow record,case study,computer network,monitored network,large-scale network monitoring,intrusion detection system,large network,network monitoring
Data mining,Large networks,Monitoring system,NetFlow,Visualization,Computer science,Computer security,Relational database management system,Network monitoring,Intrusion detection system,The Internet
Conference
Volume
ISSN
Citations 
5210
0302-9743
38
PageRank 
References 
Authors
1.52
8
5
Name
Order
Citations
PageRank
Fabian Fischer119912.94
Florian Mansmann258935.91
Daniel A. Keim377041141.60
Stephan Pietzko4391.88
Marcel Waldvogel51537166.65