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Title: Visualization Tool for Network Forensics Analysis Using an Intrusion Detection System CyberViZ
Authors: Abeyrathne, K.B.
Yaparathna, Y. M. P. K. B.
Illangarathne, I. M.
Wadigamangawa, A. H. M. S. D. B.
De Silva, D. P. H. R.
Rupasinghe, L.
Keywords: visualizing
intrusion detection
Issue Date: Dec-2009
Publisher: SLIIT
Citation: PSRS2009
Series/Report no.: SLIIT/LIB/1;
Abstract: This research is motivated by the criticality of network security in today’s world, particularly the overreaching importance of the human defenders role in protecting the network infrastructure, detecting malicious activity and visualizing the network traffic in order to provide necessary evidence for cyber crimes. In here the main goal is to analyze this kind of information using visualization methods that supports panoramically views and human centralized analysis. This utilizes resource and time more efficiently compared to the traditional methods. Through the proposed system, the system administrators can make use of the online network visualizing process to trace suspicious network activities or potential attacks to the network system. The most important part of this study is to provide network forensic analysts an offline network visualization process to collect necessary evidence for a cyber crime occurred recently in the network by using the data gathered through the intrusion detection system.
ISSN: 1800-3591
Appears in Collections:NCTM - SLIIT 2009

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