Accession Number:

ADA570847

Title:

Transport Traffic Analysis for Abusive Infrastructure Characterization

Descriptive Note:

Technical rept. 1 Jun 2011-31 Jun 2012

Corporate Author:

NAVAL POSTGRADUATE SCHOOL MONTEREY CA

Report Date:

2012-12-14

Pagination or Media Count:

43.0

Abstract:

We investigate a promising approach that identifies discriminating features of likely communications involving abusive hosts from per-packet TCP header and timing information. These features identify congestion, flow-control, and other low-level network and system characteristics indicative of an abusive network host. Our approach is IP address and content agnostic, and therefore privacy-preserving to permit wider deployment than previously possible. Importantly, the modeled characteristics are inherent to the poorly connected, under-provisioned, low-end, and overloaded hosts or links typical of abusive infrastructure making them difficult for an adversary to manipulate. In contrast to existing network-centric approaches reliant on flow-level records, fine-grained per-packet features yield superior performance with negligible processing impact. On real-world traces from accessing 40,000 Alexa and 30,000 known-abusive web sites, we achieve a classification accuracy of 94 with a 3 false positive rate using only transport features.

Subject Categories:

  • Computer Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE