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dc.contributor.advisorJasper, Scott
dc.contributor.advisorLewis, Ted G.
dc.contributor.authorMorin, Matthew E.
dc.dateSep-16
dc.date.accessioned2016-11-02T17:18:46Z
dc.date.available2016-11-02T17:18:46Z
dc.date.issued2016-09
dc.identifier.urihttp://hdl.handle.net/10945/50600
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractOver the next ten to fifteen years, the number of internet-enabled devices is anticipated to grow exponentially, which will magnify cyber risks across an expanding attack surface area. It is unclear whether current manual methods of detection, verification, and remediation will allow network defenders to keep up with those risks. This thesis examined whether automated cyber defenses promise to be more effective than current models to cope with the results of vulnerabilities introduced by the projected increase in internet-enabled devices. The thesis further proposed a future model called Automated Defense of Cyber Systems, built upon three core technological components: sensors, autonomics, and artificial intelligence. Our conclusion is that automation is the future of cyber defense, and that advances are being made in each of the three technological components to support needed productivity gains for information technology security personnel. Continued advances will occur piecemeal, and it is recommended that network defenders make incremental investments consistent with an automated defensive strategy.en_US
dc.description.urihttp://archive.org/details/protectingnetwor1094550600
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleProtecting networks via Automated Defense of Cyber Systemsen_US
dc.typeThesisen_US
dc.contributor.departmentNational Security Affairs
dc.subject.authorInternet of Thingsen_US
dc.subject.authorautonomicsen_US
dc.subject.authorsensorsen_US
dc.subject.authorartificial intelligenceen_US
dc.subject.authorcyber defenseen_US
dc.subject.authoractive cyber defenseen_US
dc.subject.authorautomated indicator sharingen_US
dc.subject.authorNIST cybersecurity frameworken_US
dc.subject.authorcontinuous diagnosisen_US
dc.subject.authormitigationen_US
dc.description.serviceSupervisory Special Agent, Federal Bureau of Investigationen_US
etd.thesisdegree.nameMaster of Arts in Security Studies (Homeland Security and Defense)en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineSecurity Studies (Homeland Security and Defense)en_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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