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PCAV: Internet attack visualization on parallel coordinates. (English) Zbl 1122.68426
Qing, Sihan (ed.) et al., Information and communications security. 7th international conference, ICICS 2005, Beijing, China, December 10–13, 2005. Proceedings. Berlin: Springer (ISBN 3-540-30934-9/pbk). Lecture Notes in Computer Science 3783, 454-466 (2005).
Summary: This paper presents PCAV (Parallel Coordinates Attack Visualizer), a real-time visualization system for detecting large-scale Internet attacks including Internet worms, DDoS attacks and network scanning activities. PCAV displays network traffic on the plane of parallel coordinates using the source IP address, destination IP address, destination port and the average packet length in a flow. These four values are used to draw each flow as a connected line on the plane and surprisingly a group of lines forms a particular shape in case of attack. Thus, a simple but novel way of displaying traffic reveals ongoing attacks. From the fact that numerous types of attacks form a specific pattern of graphs, we have developed nine signatures and their detection mechanism using an efficient hashing algorithm. Using the graphical signatures, PCAV can quickly detect new attacks and enables network administrators to instantly recognize and respond to the attacks. Another strength of PCAV comes from handling flows instead of packets. Per-flow visualization greatly reduces the processing time and further provides compatibility with legacy routers which export flow information such as NetFlow in Cisco routers. We have demonstrated the effectiveness of PCAV using real attack traffics.
For the entire collection see [Zbl 1098.68006].
MSC:
68P25 Data encryption (aspects in computer science)
Software:
PCAV
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