Label Hijacking in Track Consensus-Based Distributed Multi-Target Tracking
This paper identifies and formalizes a new "label hijacking" vulnerability in track-consensus-based distributed multi-target tracking systems, where adversaries can exploit spoofed tracks to corrupt target identities across the network, thereby highlighting the critical need for enhanced robustness at the consensus layer.