<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-18T21:41:48Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/46367" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/46367</identifier><datestamp>2022-01-13T07:54:29Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Richard P. Lippmann.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Williams, Leevar (Leevar Christoff)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2009-08-25T17:59:43Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2009-08-25T17:59:43Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2008</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2008</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/46367</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">417851004</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 101-102).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Attack graphs are valuable tools in the assessment of network security, revealing potential attack paths an adversary could use to gain control of network assets. Creating an effective visualization for attack graphs is essential to their utility, but many previous efforts produce complex displays that are difficult to relate to the underlying networks. This thesis presents GARNET (Graphical Attack graph and Reachability Network Evaluation Tool), an interactive visualization tool intended to facilitate the task of attack graph analysis. The tool provides a simplified view of critical steps that can be taken by an attacker and of host-to-host network reachability that enables these exploits. It allows users to perform "what-if" experiments including adding new zero-day attacks, following recommendations to patch software vulnerabilities, and changing the attacker starting location to analyze external and internal attackers. Users are able to view a set of attack graph metrics that summarize different aspects of overall network security for a specific set of attacker models. An initial user evaluation of GARNET identified problematic areas of the interface that assisted in the development of a more functional design.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Leevar Williams.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">102 p.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by 
copyright. They may be viewed from this source for any purpose, but 
reproduction or distribution in any format is prohibited without written 
permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">GARNET : a Graphical Attack graph and Reachability Network Evaluation Tool</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Graphical Attack graph and Reachability Network Evaluation Tool</dim:field>
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	&lt;Language>eng&lt;/Language>
   	&lt;Title>GARNET : a Graphical Attack graph and Reachability Network Evaluation Tool&lt;/Title>
   	&lt;Subtitle>Graphical Attack graph and Reachability Network Evaluation Tool&lt;/Subtitle>
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   	&lt;PublicationDate>2008&lt;/PublicationDate>
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        	&lt;DisplayName>Williams, Leevar (Leevar Christoff)&lt;/DisplayName>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;License>http://dspace.mit.edu/handle/1721.1/7582&lt;/License>
    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>Attack graphs are valuable tools in the assessment of network security, revealing potential attack paths an adversary could use to gain control of network assets. Creating an effective visualization for attack graphs is essential to their utility, but many previous efforts produce complex displays that are difficult to relate to the underlying networks. This thesis presents GARNET (Graphical Attack graph and Reachability Network Evaluation Tool), an interactive visualization tool intended to facilitate the task of attack graph analysis. The tool provides a simplified view of critical steps that can be taken by an attacker and of host-to-host network reachability that enables these exploits. It allows users to perform &amp;quot;what-if&amp;quot; experiments including adding new zero-day attacks, following recommendations to patch software vulnerabilities, and changing the attacker starting location to analyze external and internal attackers. Users are able to view a set of attack graph metrics that summarize different aspects of overall network security for a specific set of attacker models. An initial user evaluation of GARNET identified problematic areas of the interface that assisted in the development of a more functional design.&lt;/Abstract>
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