Title | A Study on the Security Threats and Privacy Policy of Intelligent Video Surveillance System Considering 5G Network Architecture |
Publication Type | Conference Paper |
Year of Publication | 2020 |
Authors | Kim, Hyungheon, Cha, Youngkyun, Kim, Taewoo, Kim, Pyeongkang |
Conference Name | 2020 International Conference on Electronics, Information, and Communication (ICEIC) |
Keywords | 5G, Human Behavior, Intelligent CCTV, Metrics, privacy, pubcrawl, Resiliency, Surveillance video, video surveillance |
Abstract | The surveillance video management system is rapidly expanding its scope of application at the request of citizens and the development of related technologies. In addition, as Cloud Computing and 5G network are applied with AI, scope and function of surveillance systems are being enhanced to intelligent CCTV beyond simple monitoring. However, intelligent CCTV systems with Mobile Edge Computing and 5G, which have the risk of privacy infringement. Accordingly, it is necessary to identify various types of security threats that can be occurred through the cloud based surveillance system and to eliminate the risk of privacy and personal information breaches. So, in this paper, we propose a hierarchical cloud based video surveillance system considering security on the 5G Network. |
DOI | 10.1109/ICEIC49074.2020.9051302 |
Citation Key | kim_study_2020 |