TY - GEN
T1 - A Video Surveillance System Based on Permissioned Blockchains and Edge Computing
AU - Wang, Rong
AU - Tsai, Wei Tek
AU - He, Juan
AU - Liu, Can
AU - Li, Qi
AU - Deng, Enyan
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/4/1
Y1 - 2019/4/1
N2 - In recent decades, video surveillance systems have become an indispensable management tool for cities. Managers can grasp the information of the scene without visiting the scene. Through the surveillance system, the effect of management and supervision can be improved, and the probability of major accidents can be reduced. However, with the advent of the Internet of Things (IoT) era, video surveillance systems will face challenges such as massive equipment access, massive data, insufficient bandwidth, vulnerable to attack, and real-time monitoring difficulties. Based on the analysis of the research and application status of video surveillance system, we propose a video surveillance system based on permissioned blockchains (BCs) and edge computing. The system uses permissioned BCs, edge computing, InterPlanetary File System (IPFS) technology and convolution neural networks (CNNs). The edge computing is used to achieve large-scale wireless sensor information acquisition and data processing. IPFS storage service is used to realize massive video data storage, and CNNs technology is used to realize real-time monitoring.
AB - In recent decades, video surveillance systems have become an indispensable management tool for cities. Managers can grasp the information of the scene without visiting the scene. Through the surveillance system, the effect of management and supervision can be improved, and the probability of major accidents can be reduced. However, with the advent of the Internet of Things (IoT) era, video surveillance systems will face challenges such as massive equipment access, massive data, insufficient bandwidth, vulnerable to attack, and real-time monitoring difficulties. Based on the analysis of the research and application status of video surveillance system, we propose a video surveillance system based on permissioned blockchains (BCs) and edge computing. The system uses permissioned BCs, edge computing, InterPlanetary File System (IPFS) technology and convolution neural networks (CNNs). The edge computing is used to achieve large-scale wireless sensor information acquisition and data processing. IPFS storage service is used to realize massive video data storage, and CNNs technology is used to realize real-time monitoring.
KW - InterPlanetary File System
KW - convolution neural networks
KW - edge computing
KW - permissioned blockchains
KW - video surveillance
UR - https://www.scopus.com/pages/publications/85064602935
U2 - 10.1109/BIGCOMP.2019.8679354
DO - 10.1109/BIGCOMP.2019.8679354
M3 - 会议稿件
AN - SCOPUS:85064602935
T3 - 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings
BT - 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019
Y2 - 27 February 2019 through 2 March 2019
ER -