  3GPP has introduced Private 5G to support the next-generation industrial
automation system (IAS) due to the versatility and flexibility of 5G
architecture. Besides the 3.5GHz CBRS band, unlicensed spectrum bands, like
5GHz, are considered as an additional medium because of their free and abundant
nature. However, while utilizing the unlicensed band, industrial equipment must
coexist with incumbents, e.g., Wi-Fi, which could introduce new security
threats and resuscitate old ones. In this paper, we propose a novel attack
strategy conducted by a mobility-enabled malicious Wi-Fi access point (mmAP),
namely \textit{PACMAN} attack, to exploit vulnerabilities introduced by
heterogeneous coexistence. A mmAP is capable of moving around the physical
surface to identify mission-critical devices, hopping through the frequency
domain to detect the victim's operating channel, and launching traditional MAC
layer-based attacks. The multi-dimensional mobility of the attacker makes it
impervious to state-of-the-art detection techniques that assume static
adversaries. In addition, we propose a novel Markov Decision Process (MDP)
based framework to intelligently design an attacker's multi-dimensional
mobility in space and frequency. Mathematical analysis and extensive simulation
results exhibit the adverse effect of the proposed mobility-powered attack.
