DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kim, Myungchul | - |
dc.contributor.advisor | 김명철 | - |
dc.contributor.author | 송주형 | - |
dc.date.accessioned | 2022-04-27T19:32:22Z | - |
dc.date.available | 2022-04-27T19:32:22Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=986291&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/296189 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 정보보호대학원, 2020.2,[v, 50 p. :] | - |
dc.description.abstract | Video-streaming applications are very popular these days. Existing studies of video streaming have attempted to identify video titles of users using machine-learning techniques to identify specific patterns of video packets transmitted over the network. However, these studies have limitations when applied to actual environments where the network is congested or there are multiple users in the same network. This paper proposes Video Title Identification using open Metadata (VTIM), which identifies video titles by analyzing storyboards andMedia Presentation Description (MPD) of MPEG-DASH in connection with video packets transmitted over the network. Attack was carried out using VTIM on 13,291 videos selected from actual video-streaming environment of YouTube. Our experiments show that VTIM is able to identify video titles with 100% accuracy at nearly thirty times faster than existing methods based on machine-learning techniques. The paper also proposes and evaluates a countermeasure against VTIM. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Storyboard▼aVideo title identification▼aVideo streaming application▼aMembership inference attack▼aOn-path attack | - |
dc.subject | 스토리보드▼a비디오 제목 식별▼a비디오 스트리밍 애플리케이션▼a사용자 정보 추론 공격▼a경로 상의 공격 | - |
dc.title | VTIM: video title identification using open metadata | - |
dc.title.alternative | 공개된 메타데이터를 사용한 비디오 제목 식별 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :정보보호대학원, | - |
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