논문윤리하기 논문투고규정
  • 오늘 가입자수 0
  • 오늘 방문자수 312
  • 어제 방문자수 387
  • 총 방문자수 2790
2024-11-15 13:28pm
논문지
HOME 자료실 > 논문지

발간년도 : [2021]

 
논문정보
논문명(한글) [Vol.16, No.3] A Study on the Information Leakage Protection System Through Smartphone Photography
논문투고자 Ryeong-Ho Kim, Jae-Woong Kim
논문내용 In general, information leakage security can be divided into areas that respond to threats from outsiders such as hacking or malicious code, and areas that respond to threats from insiders such as data leakage from inside to outside. Various solutions such as firewalls, VPNs, and virtualization systems are introduced to respond to threats from outsiders, and as a result, the number of cases of information leakage caused by threats from outsiders is greatly reduced. However, information leakage through threats from insiders is more damaging than threats from outsiders, making it difficult to detect in advance, and the amount of damage after information leakage can be much larger. In order to prevent information leakage through smartphone filming, which is one of insider's information leakage path, it currently uses hardware, smartphone camera security stickers, screen security films, and software uses smartphone MDM (Mobile Device Management) solutions to limit functions such as smartphone photography and data communication. In this paper, we propose a study on the information leakage protection system through smartphone shooting by installing a camera on a PC with access to sensitive information, collecting video information from cameras and designing a smartphone object detection algorithm. For this purpose, the camera is installed at the top of the center of the screen. Image frames are transmitted in real time from camera. In addition, real-time object detection is possible using YOLO, which has fast computational speed. The purpose of this paper is to develop a system for detecting smartphone objects from video information inputted from cameras. As a result, information leakage can be protected by taking pictures of smartphones.
첨부논문
   16-3-16.pdf (1.6M) [18] DATE : 2021-06-30 10:24:18