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Una-May O'Reilly and Erik Hemberg. Garcia, Dennis Alberto Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 2017-12-20T17:25:15Z 2017-12-20T17:25:15Z 2017 2017 http://hdl.handle.net/1721.1/112849 1015248100 Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 49-50). This thesis implements a novel peer-to-peer network simulator that integrates co-evolutionary algorithms in order to model adversarial attack and defense dynamics in networks. Modeling this behavior is desirable as it allows for network designers to better develop network defense strategies against adaptive cyber attackers. By developing a network simulator that implements a peer-to-peer protocol, we were able to control the environment and abstract away many of the complex details that would normally arise from using a live network. Because of this environment, we were able to design attack and defense models and grammars, construct arbitrary network topologies, and rapidly test adversarial behavior using the integrated coevolutionary algorithms. Second, the thesis implements the integration of the coevolutionary algorithms with a more complex, proprietary emulator that implements an advanced version of Chord. Our experiments with this system start to investigate the effectiveness of peer-to-peer networks as defenders as well as elucidate the issues of integrating coevolutionary algorithms in a real-world system. by Dennis Alberto Garcia. M.Eng. 50 pages eng Massachusetts Institute of Technology MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 Electrical Engineering and Computer Science. Peer-to-peer network modeling for adversarial proactive cyber defenses Thesis application/pdf Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="e5676f72-0ddc-496b-a0f7-9e4e83b356c9"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Peer-to-peer network modeling for adversarial proactive cyber defenses</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2017</PublicationDate> <Authors> <Author> <DisplayName>Garcia, Dennis Alberto</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Electrical Engineering and Computer Science.</Keyword> <Abstract>This thesis implements a novel peer-to-peer network simulator that integrates co-evolutionary algorithms in order to model adversarial attack and defense dynamics in networks. Modeling this behavior is desirable as it allows for network designers to better develop network defense strategies against adaptive cyber attackers. By developing a network simulator that implements a peer-to-peer protocol, we were able to control the environment and abstract away many of the complex details that would normally arise from using a live network. Because of this environment, we were able to design attack and defense models and grammars, construct arbitrary network topologies, and rapidly test adversarial behavior using the integrated coevolutionary algorithms. Second, the thesis implements the integration of the coevolutionary algorithms with a more complex, proprietary emulator that implements an advanced version of Chord. Our experiments with this system start to investigate the effectiveness of peer-to-peer networks as defenders as well as elucidate the issues of integrating coevolutionary algorithms in a real-world system.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>