| Title | Research on UAV Network System Security Risk Evaluation Oriented to Geographic Information Data |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Liu, Shaogang, Chen, Jiangli, Hong, Guihua, Cao, Lizhu, Wu, Ming |
| Conference Name | 2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA) |
| Keywords | Analytical models, autonomous aerial vehicles, Data models, Data security, geographic information data, Human Behavior, human factors, information industry, Internet of Vehicles, Metrics, Network security, pubcrawl, resilience, Resiliency, risk assessment, security, UAV, Urban areas |
| Abstract | With the advent of the Internet era, all walks of life in our country have undergone earth-shaking changes, especially the drone and geographic information industries, which have developed rapidly under the impetus of the Internet of Things era. However, with the continuous development of science and technology, the network structure has become more and more complex, and the types of network attacks have varied. UAV information security and geographic information data have appeared security risks on the network. These hidden dangers have contributed to the progress of the drone and geographic information industry. And development has caused a great negative impact. In this regard, this article will conduct research on the network security of UAV systems and geographic information data, which can effectively assess the network security risks of UAV systems, and propose several solutions to potential safety hazards to reduce UAV networks. Security risks and losses provide a reference for UAV system data security. |
| DOI | 10.1109/EEBDA53927.2022.9744973 |
| Citation Key | liu_research_2022 |
Research on UAV Network System Security Risk Evaluation Oriented to Geographic Information Data