As　the　foremost　protocol　for　low-power　communication,　Bluetooth　Low　Energy　(BLE)　significantly　impacts　various　aspects　of　our　lives,　including　industry　and　healthcare.　Given　BLE＇s　inherent　security　limitations　and　firmware　vulnerabilities,　spoofing　attacks　can　readily　compromise　BLE　devices　and　jeopardize　privacy　data.　In　this　paper,　we　introduce　BLEGuard,　a　hybrid　mechanism　for　detecting　spoofing　attacks　in　BLE　networks.　We　established　a　physical　Bluetooth　system　to　conduct　attack　simulations　and　construct　a　substantial　dataset　(BLE-SAD).　BLEGuard　integrates　pre-detection,　reconstruction,　and　classification　models　to　effectively　identify　spoofing　activities,　achieving　an　impressive　preliminary　accuracy　of　99.01%,　with　a　false　alarm　rate　of　2.05%　and　an　undetection　rate　of　0.36%.