TY - GEN
T1 - SpaceMediator
T2 - 28th ACM Symposium on Access Control Models and Technologies, SACMAT 2023
AU - Claramunt, Luis
AU - Rubio-Medrano, Carlos
AU - Baek, Jaejong
AU - Ahn, Gail Joon
N1 - Funding Information:
This work was partially supported by the grants from the National Science Foundation (NSF-CICI-2232911), the Institute for Information & Communications Technology Promotion (IITP-MSIT-2017-0-00168), and Texas A&M University - Corpus Christi.
Publisher Copyright:
© 2023 ACM.
PY - 2023/5/24
Y1 - 2023/5/24
N2 - 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.
AB - 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.
KW - attributes
KW - authorization policies
KW - mobile augmented reality
UR - http://www.scopus.com/inward/record.url?scp=85161094124&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85161094124&partnerID=8YFLogxK
U2 - 10.1145/3589608.3593839
DO - 10.1145/3589608.3593839
M3 - Conference contribution
AN - SCOPUS:85161094124
T3 - Proceedings of ACM Symposium on Access Control Models and Technologies, SACMAT
SP - 79
EP - 90
BT - SACMAT 2023 - Proceedings of the 28th ACM Symposium on Access Control Models and Technologies
PB - Association for Computing Machinery
Y2 - 7 June 2023 through 9 June 2023
ER -