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Title:An approach to incorporating uncertainty in network security analysis
Author(s):Nguyen, Hoang Hai
Advisor(s):Nicol, David M
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):network security, uncertainty, attach graph, reachability
Abstract:Attack graphs used in network security analysis are analyzed to determine sequences of exploits that lead to successful acquisition of privileges or data at critical assets. An attack graph edge corresponds to a vulnerability, tacitly assuming a connection exists and tacitly assuming the vulnerability is known to exist. In this thesis, we explore use of {\em uncertain graphs} to extend the paradigm to include lack of certainty in connection and/or existence of a vulnerability. We extend the standard notion of uncertain graph (where the existence of each edge is probabilistically independent) however, as significant correlations on edge existence probabilities exist in practice, owing to common underlying causes for disconnectivity and/or presence of vulnerabilities. Our extension describes each edge probability as a Boolean expression of independent indicator random variables. This thesis (i) shows that this formalism is maximally descriptive in the sense that it can describe any joint probability distribution function of edge existence, (ii) shows that when these Boolean expressions are monotone then we can easily perform uncertainty analysis of edge probabilities, and (iii) uses these results to model a partial attack graph of the Stuxnet worm and a small enterprise network and to answer important security-related questions in a probabilistic manner.
Issue Date:2018-10-29
Type:Thesis
URI:http://hdl.handle.net/2142/102416
Rights Information:Copyright 2018 Hoang Hai Nguyen
Date Available in IDEALS:2019-02-06
Date Deposited:2018-12


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