Journal of Cybersecurity / 网络空间安全科学学报 · Journal article · 2025
Authors: Chao Dong, Jiahao You, Lei Zhang, Can Cui, Kunlun Bu
Published in: Journal of Cybersecurity / 网络空间安全科学学报, vol. 3, no. 1, pp. 100–111.
Authorship: Second author / 第二作者
DOI: 10.20172/j.issn.2097-3136.250109
Research overview
This paper presents a security situation cognition system that combines heterogeneous low-altitude data for risk analysis and warning.
The problem
Increasing numbers of UAVs and other aerial devices produce diverse data streams. Their heterogeneity and real-time processing requirements make unified monitoring and risk assessment difficult.
The approach
The system connects data collection and preprocessing with multidimensional fusion and threat detection. A unified representation supports analysis of aerial activity and identification of potential risks.
Evaluation
UAV trajectory prediction and risk-warning applications demonstrate the system in complex airspace management. The paper also discusses implementation challenges and future improvements.
低空智联网平台安全态势认知系统与实现
本文设计并实现低空安全态势认知系统，融合异构数据，支撑风险分析与预警。
研究问题
无人机等空域设备数量增长，带来多样的数据来源。信息异构性和实时处理需求，使统一监测与风险评估面临困难。
研究方法
系统将数据采集、预处理、多维融合与威胁检测连接起来，通过统一表征分析空域活动并识别潜在风险。
研究评估
论文通过无人机轨迹预测与风险预警应用，展示系统在复杂空域管理中的作用，并讨论实现挑战和改进方向。
原文为中文；英文介绍为便于阅读所作的概述。
Citation
[1] C. Dong, J. You, L. Zhang, C. Cui, and K. Bu, “Security situation cognitive system and implementation of low-altitude intelligent network,” Journal of Cybersecurity, vol. 3, no. 1, pp. 100–111, 2025 (in Chinese), doi: 10.20172/j.issn.2097-3136.250109.
