Conference Name: The 34th Joint Conference on Communications and Information (JCCI 2024)
Abstract: This paper proposes a trustworthy collaborative GPS signal spoofing attack detection using a decentralized learning scenario and an efficient privacy-preserving technique. This framework provides data privacy for Internet of Military Things (IoMT) devices and facilitates secure model data exchange. The IoMT devices collaborate to securely perform local training by integrating with blockchain to ensure the trustworthiness of the IoMT participants. The proposed system achieves a more accurate detection capability with a low-complexity model structure. It facilitates privacy, trustworthiness, and a more secure learning strategy than state-of-the-art methods.