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
Personal Author(s):
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