Abstract #301617

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JSM 2002 Abstract #301617
Activity Number: 372
Type: Topic Contributed
Date/Time: Thursday, August 15, 2002 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Computing*
Abstract - #301617
Title: Man vs. Machine - A Study of the Ability of Statistical Methodologies to Discern Human Generated ssh Traffic from Machine Generated scp Traffic
Author(s): Jeffrey Solka*+ and David Marchette and Michelle Adams
Affiliation(s): NSWCDD and NSWCDD and NSWCDD
Address: Code B10, 17320 Dahlgren Rd., Dahlgren, Virginia, 22448-5100, USA
Keywords: classification ; clustering ; ssh ; computer ; security ; network
Abstract:

This talk will present our recent results that detail the classification of human-based ssh traffic as compared to machine-based scp traffic. Since both of these services, ssh and scp, use the same port, port 22, this classification problem occurs within a quite natural framework. Results that illustrate an exploratory analysis of the data will be presented along with some preliminary classification and clustering results.

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