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Security and Privacy for Emerging Augmented Reality Technologies
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Security and Privacy for Emerging Augmented Reality Technologies. |
| 개인저자 | Lebeck, Kiron. |
| 단체저자명 | University of Washington. Computer Science and Engineering. |
| 발행사항 | [S.l.]: University of Washington., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 146 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-03B. Dissertation Abstract International |
| ISBN | 9781085727570 |
| 학위논문주기 | Thesis (Ph.D.)--University of Washington, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-03, Section: B.
Advisor: Roesner, Franziska |
| 이용제한사항 | This item must not be sold to any third party vendors.This item must not be added to any third party search indexes. |
| 요약 | Augmented reality (AR) has emerged as a powerful computing paradigm in recent years. These technologies enable users to interact with digital content in new and exciting ways by continuously capturing sensory input from a user's surroundings and overlaying digital feedback atop the user's perception of the physical world. With application domains ranging from entertainment and education to automotive assistance and countless others, AR has the potential to fundamentally change how we engage with technology as part of our daily lives. Unfortunately, AR technologies may also expose users to new security and privacy risks that stem from the unique capabilities that make these technologies so powerful, and we currently lack a deep understanding of these risks or how to defend against them.This dissertation identifies and addresses several key gaps in the AR security and privacy landscape, which represent critical impediments to realizing the full potential of these emerging technologies. First, it identifies the risks of visual output generated by immersive AR applications that may be malicious or buggy, and it describes the design of Arya -- an AR platform that my collaborators and I created to constrain the output capabilities of AR applications while still supporting flexible application behaviors. Through our prototype implementation and evaluation, we find that Arya provides a promising basis for securing the output of AR applications. Second, this dissertation presents a qualitative user study that my collaborators and I conducted to investigate the security and privacy concerns that users have surrounding emerging AR technologies, in the context of both single-user applications and shared, multi-user experiences. Our study uncovers a wide range of perspectives and concerns, as well as opportunities for further technical defenses. Finally, this dissertation explores the challenge of enabling multiple AR applications to augment a user's world simultaneously, identifies ways in which AR applications may conflict with each other as they attempt to display content, and proposes multiple design paths for AR platforms to better support multi-application ecosystems. By analyzing today's state-of-the-art consumer AR headsets, we discover a nascent multi-application landscape ripe for further exploration. Taken together, these thrusts of research lay a foundation for better understanding the security and privacy risks of emerging AR technologies, and for designing these technologies to better protect users from harm. |
| 일반주제명 | Computer science. Information technology. |
| 언어 | 영어 |
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: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
