The proliferation of Internet of Things (IoT) devices is occurring at an unprecedented rate. Nevertheless, these devices are frequently installed in environments where the physical conditions are beyond control, rendering them susceptible to hardware-based attacks. Such attacks include power supply noise injection, electromagnetic interference, and laser fault injection. Traditional software-based security measures struggle to effectively mitigate these risks. Hardware security chips, especially True Random Number Generators (TRNGs), which act as the "entropy source" for cryptographic systems, play a pivotal role in establishing a reliable foundation for IoT security. At present, the challenge of equipping IoT devices with energy-efficient, highly resilient TRNGs that can proactively defend against injection attacks—while maintaining low costs and power consumption—has emerged as a primary concern for both the academic community and the industry.