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dc.contributor.advisorDean, Richarden
dc.contributor.advisorMoazzami, Farzaden
dc.contributor.advisorAstatke, Yacoben
dc.contributor.authorShourabi, Neda Bazyar
dc.date.accessioned2016-02-16T21:16:14Zen
dc.date.available2016-02-16T21:16:14Zen
dc.date.issued2015-10en
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/596409en
dc.descriptionITC/USA 2015 Conference Proceedings / The Fifty-First Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2015 / Bally's Hotel & Convention Center, Las Vegas, NVen_US
dc.description.abstractThis paper develops a method for analyzing, modeling and simulating cyber threats in a networked telemetry environment as part of a risk management model. The paper includes an approach for incorporating a Monte Carlo computer simulation of this modeling with sample results.
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.language.isoen_USen
dc.publisherInternational Foundation for Telemeteringen
dc.relation.urlhttp://www.telemetry.org/en
dc.rightsCopyright © held by the author; distribution rights International Foundation for Telemeteringen
dc.subjectRisk Managementen
dc.subjectCyber-attacken
dc.subjectMonte Carlo simulationen
dc.titleA Model for Cyber Attack Risks in Telemetry Networksen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentMorgan State Universityen
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en
refterms.dateFOA2018-06-24T23:01:59Z
html.description.abstractThis paper develops a method for analyzing, modeling and simulating cyber threats in a networked telemetry environment as part of a risk management model. The paper includes an approach for incorporating a Monte Carlo computer simulation of this modeling with sample results.


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