Attack-detection and multi-clock source cooperation-based accurate time synchronization for PLC-AIoT in smart parks

• DOI: 10.1016/j.dcan.2023.10.005
• Publication Date: 2023-10-29T09:33:23Z
• Authors: Zhigang Du; Sunxuan Zhang; Zijia Yao; Zhenyu Zhou; Muhammad Tariq
• Keywords: Tampering attack awareness; Power line communications; Smart park; Information technology; Abnormal clock source detection; T58.5-58.64; Artificial intelligence of things; Multi-clock source cooperation

Power Line Communications-Artificial Intelligence of Things (PLC-AIoT) combines the low cost and high coverage PLC with learning ability AI to provide data collection transmission capabilities for PLC-AIoT devices in smart parks. With development parks, their emerging services require secure accurate time synchronization devices. However, impact attackers on accuracy cannot be ignored. To solve aforementioned problems, we propose a tampering attack-aware Deep Q-Network (DQN)-based algorithm. First, construct an abnormal clock source detection model. Then, is detected excluded by comparing information between device gateway. Finally, proposed algorithm realizes joint guarantee delay parks intelligently selecting multi-clock cooperation strategy timing weights. Simulation results show that has better performance.