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Automatically identifying the sources of large Internet events

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3 Author(s)
Glass, K. ; New Mexico Inst. of Min. & Technol., Socorro, NM, USA ; Colbaugh, R. ; Planck, M.

The Internet occasionally experiences large disruptions, arising from both natural and manmade disturbances, and it is of significant interest to develop methods for locating within the network the source of a given disruption (i.e., the network element(s) whose perturbation initiated the event). This paper presents a near real-time approach to realizing this logical localization objective. The proposed methodology consists of three steps: 1.) data acquisition/preprocessing, in which publicly available measurements of Internet activity are acquired, “cleaned”, and assembled into a format suitable for computational analysis, 2.) event characterization via tensor factorization-based time series analysis, and 3.) localization of the source of the disruption through graph theoretic analysis. This procedure provides a principled, automated approach to identifying the root causes of network disruptions at “whole-Internet” scale. The considerable potential of the proposed analytic method is illustrated through a computer simulation study and empirical analysis of a recent, large-scale Internet disruption.

Published in:

Intelligence and Security Informatics (ISI), 2010 IEEE International Conference on

Date of Conference:

23-26 May 2010