SecLMMS: Secure AGI-Enabled Low-Altitude Maritime Monitoring System

Artificial General Intelligence (AGI) offers transformative potential for low-altitude maritime monitoring systems (LMMS), enabling enhanced situational awareness, intelligent UAV coordination, and adaptive maritime operations. However, leveraging AGI in LMMS introduces critical challenges, particularly in ensuring secure, efficient, and privacy-preserving signature aggregation in bandwidth-constrained environments. In this paper, we present SecLMMS, a secure and AGI-enabled LMMS architecture tailored for the low-altitude economy. SecLMMS fuses real-time and offline AGI-driven decision-making to achieve both responsive control and strategic maritime insight. To minimize the computational and communication burden in AGI-enhanced UAV networks, we design a novel compound aggregate signature scheme with dual-layer aggregation, offering strong data authenticity guarantees while reducing public key overhead. SecLMMS further supports multimodal data collection and redaction, safeguarding against replay attacks, Sybil attacks, and privacy leaks. Formal analysis confirms the system’s security and privacy resilience, while extensive experiments demonstrate substantial reductions in system overhead. SecLMMS represents a promising step toward scalable, secure, and intelligent AGI-driven maritime monitoring.