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20242026
most citedToward Multi-Functional LAWNs with ISAC: Opportunities, Challenges, and the Road Ahead

8 citations · 28 across the 66 of their papers we have counts for

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Showing cs.CRShow all

5 papers · 1 filter

cs.CR2026★ 2 cited

Leveraging the Power of Ensemble Learning for Secure Low Altitude Economy

Yaoqi Yang, Yong Chen, Jiacheng Wang +3

Low Altitude Economy (LAE) holds immense promise for enhancing societal well-being and driving economic growth. However, this burgeoning field is vulnerable to security threats, pa…

cs.CR2026

Multi-Agent Collaborative Intrusion Detection for Low-Altitude Economy IoT: An LLM-Enhanced Agentic AI Framework

Hongjuan Li, Hui Kang, Jiahui Li +6

The rapid expansion of low-altitude economy Internet of Things (LAE-IoT) networks has created unprecedented security challenges due to dynamic three-dimensional mobility patterns,…

cs.CR2025

Secure Low-altitude Maritime Communications via Intelligent Jamming

Jiawei Huang, Aimin Wang, Geng Sun +5

Low-altitude wireless networks (LAWNs) have emerged as a viable solution for maritime communications. In these maritime LAWNs, unmanned aerial vehicles (UAVs) serve as practical lo…

cs.CR2025★ 1 cited

Security-Aware Joint Sensing, Communication, and Computing Optimization in Low Altitude Wireless Networks

Jiacheng Wang, Changyuan Zhao, Jialing He +5

As terrestrial resources become increasingly saturated, the research attention is shifting to the low-altitude airspace, with many emerging applications such as urban air taxis and…

cs.CR2025

Low-altitude UAV Friendly-Jamming for Satellite-Maritime Communications via Generative AI-enabled Deep Reinforcement Learning

Jiawei Huang, Aimin Wang, Geng Sun +4

Low Earth orbit (LEO) satellites can be used to assist maritime wireless communications for wide-area data transmission. However, the extensive coverage of LEO satellites, combined…