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dc.contributor.authorPostnikoff, Brittany
dc.date.accessioned2020-07-06 17:37:23 (GMT)
dc.date.available2020-07-06 17:37:23 (GMT)
dc.date.issued2020-07-06
dc.date.submitted2020-06-30
dc.identifier.urihttp://hdl.handle.net/10012/16030
dc.description.abstractThis thesis establishes the new field of Robot Social Engineering. We define Robot Social Engineering as the use of social abilities and techniques by robots to manipulate others in order to achieve a goal. We build the field of Robot Social Engineering on the foundations of Human-Robot Interaction research on social robots as well as information security research on social engineering. Social engineering attacks are the deliberate applications of manipulative social skills by an individual in an attempt to achieve a goal. The field of information security has shown that interpersonal skills, such as trust, authority, and empathy, can be used by humans against other humans to perform social engineering attacks. Meanwhile, the field of Human-Robot Interaction has shown that robots may make use of social abilities such as those used in social engineering attacks. In this work, we argue that Robot Social Engineering attacks are possible and have already been performed, and that defenses should be developed to protect against these attacks. We support our argument by providing background on social robots and social engineering, defining Robot Social Engineering, outlining previous research that we consider to be Robot Social Engineering, describing Robot Social Engineering attacks that may be performed, and discussing the risks that can accompany Robot Social Engineering attacks.en
dc.language.isoenen
dc.publisherUniversity of Waterlooen
dc.subjectrobotsen
dc.subjectsocial engineeringen
dc.subjectrobot social engineeringen
dc.subjectsecurityen
dc.subjectprivacyen
dc.subjecthuman-robot interactionen
dc.subjectsocial robotsen
dc.titleRobot Social Engineeringen
dc.typeMaster Thesisen
dc.pendingfalse
uws-etd.degree.departmentDavid R. Cheriton School of Computer Scienceen
uws-etd.degree.disciplineComputer Scienceen
uws-etd.degree.grantorUniversity of Waterlooen
uws-etd.degreeMaster of Mathematicsen
uws.contributor.advisorGoldberg, Ian
uws.contributor.affiliation1Faculty of Mathematicsen
uws.published.cityWaterlooen
uws.published.countryCanadaen
uws.published.provinceOntarioen
uws.typeOfResourceTexten
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen


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