Looks Good To Me (LGTM): Authentication for Augmented Reality

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dc.contributor.authorGaebel, Ethan Danielen
dc.contributor.committeechairLou, Wenjingen
dc.contributor.committeememberChen, Ing-Rayen
dc.contributor.committeememberYu, Guoqiangen
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2016-06-28T08:00:53Zen
dc.date.available2016-06-28T08:00:53Zen
dc.date.issued2016-06-27en
dc.description.abstractAugmented reality is poised to become the next dominant computing paradigm over the course of the next decade. With the three-dimensional graphics and interactive interfaces that augmented reality promises it will rival the very best science fiction novels. Users will want to have shared experiences in these rich augmented reality scenarios, but surely users will want to restrict who can see their content. It is currently unclear how users of such devices will authenticate one another. Traditional authentication protocols reliant on centralized authorities fall short when different systems with different authorities try to communicate and extra infrastructure means extra resource expenditure. Augmented reality content sharing will usually occur in face-to-face scenarios where it will be advantageous for both performance and usability reasons to keep communications and authentication localized. Looks Good To Me (LGTM) is an authentication protocol for augmented reality headsets that leverages the unique hardware and context provided with augmented reality headsets to solve an old problem in a more usable and more secure way. LGTM works over point to point wireless communications so users can authenticate one another in any circumstance and is designed with usability at its core, requiring users to perform only two actions: one to initiate and one to confirm. LGTM allows users to intuitively authenticate one another, using seemingly only each other's faces. Under the hood LGTM uses a combination of facial recognition and wireless localization to ensure secure and extremely simple authentication.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:8083en
dc.identifier.urihttp://hdl.handle.net/10919/71638en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectaugmented realityen
dc.subjectauthenticationen
dc.subjectlooks good to meen
dc.subjectlgtmen
dc.subjectmixed realityen
dc.subjecthologramen
dc.subjecthologramsen
dc.subjectwireless localizationen
dc.subjectlocalizationen
dc.titleLooks Good To Me (LGTM): Authentication for Augmented Realityen
dc.typeThesisen
thesis.degree.disciplineComputer Science and Applicationsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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