DQN-Driven Adaptive Neighbor Discovery for Directional Aerial Networks

Collection of networking and ML-for-networking research (directional aerial neighbor discovery, MANET power allocation with GNNs, space data-center comms, LLM-driven NetOps/AIOps, optical reconfigurable fabrics, risk-aware traffic engineering, AoI scheduling, NDN caching, and an Internet architecture for AI). Across papers the recurring security/privacy risks are: expanded attack surface where ML/agents touch control planes and reconfiguration surfaces; privacy/exposure from probing and inference under limited observability; integrity and availability risks from manipulated telemetry, poisoned