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