Peer-to-peer network modeling for adversarial proactive cyber defenses
Name
1015248100-MIT.pdf
Description
Full printable version
Size
623.01 KB
Format
Adobe PDF
Checksum (MD5)
03cbadd14638afcbde346dc745c792da
Author(s)
Garcia, Dennis Alberto
Advisor(s)
Una-May O'Reilly and Erik Hemberg.
Date Issued
2017
Publisher
Massachusetts Institute of Technology
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.
Description
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).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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