Open AccessResearch on Information Security System of Ship Platform Based on Cloud Computing
Author(s) -
Tao Lin,
Yang Zhao,
Haotian Zhang,
Guobing� Li,
Zhang Jian
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1802/4/042032
Subject(s) - cloud computing , computer science , video monitoring , radio frequency identification , cluster analysis , fuzzy logic , real time computing , systems engineering , engineering , computer security , artificial intelligence , operating system
To improve ship positioning identification and implementation monitoring, ensure the safe navigation of ships, and optimize ship information retrieval design, the paper proposes a ship information retrieval system based on cloud computing technology. It adopts the fuzzy C-means clustering method for ships, the classification and processing of the subordinate characteristics of the information, the design of the ship network video monitoring system, some study of the critical technology of cloud computing technology, and the algorithm of the video image detection. The simulation results show that this system has a siginificant improvement on accuracy and recall rate of ship navigation safety information monitoring. The system is a ship-shore integrated monitoring platform that meets maritime safety requirements and the needs of low- carbon management with outstanding efficiency.