An Investigation of Privacy and Security in VR APPs through URL String Analysis

• Item type: Symposium(1)
• 公開日: 2023-10-23
• タイトル: An Investigation of Privacy and Security in VR APPs through URL String Analysis
• タイトル / 言語: en
• タイトル: An Investigation of Privacy and Security in VR APPs through URL String Analysis
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: Virtual Reality, Network, Library, Privacy
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_5794
• 資源タイプ: conference paper
• 著者所属: Waseda University
• 著者所属: NTT Social Informatics Laboratories
• 著者所属: NTT Social Informatics Laboratories
• 著者所属: Waseda University／NICT
• 著者所属(英): en
• 著者所属(英): Waseda University
• 著者所属(英): en
• 著者所属(英): NTT Social Informatics Laboratories
• 著者所属(英): en
• 著者所属(英): NTT Social Informatics Laboratories
• 著者所属(英): en
• 著者所属(英): Waseda University / NICT
• 著者名: Huang, Shu-Pei; Takuya, Watanabe; Mitsuaki, Akiyama; Tatsuya, Mori
• 著者名(英): Huang, Shu-Pei; Takuya, Watanabe; Mitsuaki, Akiyama; Tatsuya, Mori
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Our research aims to explore privacy concerns associated with static hard-coded URLs utilized by VR applications. Among these URLs, we identified destinations leading to advertising and analytics services, which may raise user privacy concerns. Our primary focus lies in external libraries or sources that developers import and include privacy-related URLs. Through our measurement study on the VR device Oculus Go, we employed a proposed categorization methodology to disclose popular advertising and analytics sources. The results revealed the presence of potential privacy threats and implications for user rights. Consequently, we discuss possible improvements for VR manufacturers to enhance future VR experiences.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Our research aims to explore privacy concerns associated with static hard-coded URLs utilized by VR applications. Among these URLs, we identified destinations leading to advertising and analytics services, which may raise user privacy concerns. Our primary focus lies in external libraries or sources that developers import and include privacy-related URLs. Through our measurement study on the VR device Oculus Go, we employed a proposed categorization methodology to disclose popular advertising and analytics sources. The results revealed the presence of potential privacy threats and implications for user rights. Consequently, we discuss possible improvements for VR manufacturers to enhance future VR experiences.
• 書誌情報: コンピュータセキュリティシンポジウム2023論文集; p. 1341-1348, 発行日 2023-10-23
• 出版者 / 言語: ja
• 出版者: 情報処理学会