SpaceMediator: Leveraging Authorization Policies to Prevent Spatial and Privacy Attacks in Mobile Augmented Reality
SpaceMediator: Leveraging Authorization Policies to Prevent Spatial and Privacy Attacks in Mobile Augmented Reality
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SpaceMediator：利用授权策略防止移动增强现实中的空间和隐私攻击
DOI：
10.1145/3589608.3593839
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Ahn, Gail-Joon
中科院分区：
文献类型：
--
作者：
Claramunt, Luis;Rubio-Medrano, Carlos;Baek, Jaejong;Ahn, Gail-Joon
移动增强现实（MAR）是一种便携式、强大且适用的技术，它将数字内容（例如 3D 虚拟对象）集成到物理世界中，不仅已应用于购物、娱乐、游戏等多种用途，而且预计在未来几年将以惊人的速度增长。不幸的是，实现 MAR 的应用程序（特此称为 MAR-Apps）存在安全问题，这些问题在世界范围内发生的抢劫等事件中都有体现，这导致当局在特定地点禁止 MAR-Apps。 MAR-Apps 现有的问题可分为三类：第一类是空间入侵，这意味着通过 MAR 对敏感空间（例如医院、纪念馆等）进行侵入性修改。第二类是空间影响，这涉及到通过与不良 MAR 或恶意实体交互而导致用户体验下降。最后，MAR-Apps 错误处理敏感数据会导致隐私泄露。为了缓解这些担忧，我们提出了一种策略管理的 MAR-Apps 方法，该方法允许最终用户完全控制在什么情况下（例如，他们出现在给定的敏感空间内）MAR-Apps 可以显示数字内容。 SpaceMediator 是一款模仿著名且成功的 MAR-App Pokemon GO 的概念验证 MAR-App，我们通过 40 名参与者的用户研究评估了我们的方法，他们认识到并防止了刚刚描述的问题，成功率高达 92.50%。此外，人们对策略管理的 MAR 应用程序兴趣浓厚，87.50% 的参与者同意，82.50% 的参与者将使用它在 MAR 应用程序中实施基于内容的限制。这些有希望的结果鼓励在未来的 MAR 应用程序中采用我们的解决方案。
Mobile Augmented Reality (MAR) is a portable, powerful, and suitable technology that integrates digital content, e.g., 3D virtual objects, into the physical world, which not only has been implemented for multiple intents such as shopping, entertainment, gaming, etc., but it is also expected to grow at a tremendous rate in the upcoming years. Unfortunately, the applications that implement MAR, hereby referred to as MAR-Apps, bear security issues, which have been imaged in worldwide incidents such as robberies, which has led authorities to ban MAR-Apps at specific locations. Existing problems with MAR-Apps can be classified into three categories: first, Space Invasion, which implies the intrusive modification through MAR of sensitive spaces, e.g., hospitals, memorials, etc. Second, Space Affectation, which involves the degradation of users' experience via interaction with undesirable MAR or malicious entities. Finally, MAR-Apps mishandling sensitive data leads to Privacy Leaks.To alleviate these concerns, we present an approach for Policy-Governed MAR-Apps, which allows end-users to fully control under what circumstances, e.g., their presence inside a given sensitive space, digital content may be displayed by MAR-Apps. Through SpaceMediator, a proof-of-concept MAR-App that imitates the well-known and successful MAR-App Pokemon GO, we evaluated our approach through a user study with 40 participants, who recognized and prevented the issues just described with success rates as high as 92.50%. Furthermore, there is an enriched interest in Policy-Governed MAR-Apps as 87.50% of participants agreed with it, and 82.50% would use it to implement content-based restrictions in MAR-Apps These promising results encourage the adoption of our solution in future MAR-Apps.
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DOI：
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DOI：
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