The 10th International Conference on Next Generation Computing 2024 (2024.11)바로가기
페이지
pp.341-244
저자
Arpita Dinesh Sarang, Sang-Hoon Choi, Ki-Woong Park
언어
영어(ENG)
URL
https://www.earticle.net/Article/A468880
원문정보
초록
영어
The Metaverse is a socially influential platform that offers XR (Extended Reality) users access to multitudinous applications such as a website, a web application, or a desktop program. The handheld controllers, gestures, or voice commands are typically used by the XR-Users to navigate and access these applications. Considering voice commands are the fastest, they are used the most these days. We undertook an attempt to evaluate the security of voice commands for navigating browsers in the Metaverse to access websites. We studied the network analysis trends in depth for virtual environments. We observed URL (Uniform Resource Locator) whitelisting when performing tests on the Oculus Quest 2 voice assistant. We conducted partial network analysis on the network traffic collected during the URL voice command request processing using the OVR (Oculus Virtual Reality) device. With this partial network analysis of the network traffic, we propose a threat model for the OVR voice assistant for processing URLs. We convey, whether voice commands are secure even though they utilize URL whitelisting as a disguise through our research.
목차
Abstract I. INTRODUCTION II. RELATED WORK A. Network Traffic Analysis B. URL Whitelisting for Voice Command III. PROPOSED THREAT MODEL FOR OVR VOICE ASSITANT A. Methodology B. Proposed Threat Model IV. CONCLUSION ACKNOWLEDGEMENT REFERENCES
키워드
MetaverseSpeech RecognitionNetwork AnalysisCyber SecurityIoT(Internet of Things)AI(Artificial Intelligence)
저자
Arpita Dinesh Sarang [ SysCore Lab, Department of Information Security, and Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, South Korea ]
Sang-Hoon Choi [ SysCore Lab, Sejong University, Seoul 05006, South Korea ]
Ki-Woong Park [ Department of Information Security, and Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, South Korea ]
Corresponding Author