The EMIST NID (Network Intrusion Detection) tool is an off-line network intrusion system capable of detecting suspicious network traffic and extracting their corresponding signatures. The EMIST NID tool performs 5D multidimensional header-based clustering and anomaly detection to identify suspicious traffic, from which it can automatically extract suspicious signatures by applying a Generalized Suffix Tree based method.
 J. Wang, D.J. Miller, and G. Kesidis. "Efficient Mining of the Multidimensional Traffic Cluster Hierarchy for Digesting, Visualization, and Anomaly Identification", IEEE JSAC on High-Speed Network Security, 2006.
 J. Wang, I. Hamadeh, G. Kesidis, and D.J. Miller. "Polymorphic Worm Detection and Defense: System Design, Experimental Methodology, and Data Resources", SIGCOMM Workshop on LSAD, 2006.
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NID Software User Manual
In this section, we provide the detection report by using our EMIST NID tool on a worm-salted TCPDump trace.
The PSU EMIST software newsgroup can be accessed at pubnews.cse.psu.edu server under cse.research.emist newsgroup.
For technique questions, please contact Jisheng Wang at firstname.lastname@example.org.