We propose a hardware Trojan detection model based on the PCA and logistics regression to promote the detection performance of the IC planted with hardware Trojan. We employ the PCA to analyze the collected side channel power signals and select main features, remove the effect of noise, and simplify the computation. The logistics regression algorithm is adopted to train the classifier. We detect hardware Trojan by calculating the logarithmic ratio between the probability that includes Trojan and the probability that does not include Trojan. An FPGA experiment platform is designed and established to validate the proposed model. Two indicators (precision and recall) are used to evaluate the model’s performance. Experimental results show that this model can detect hardware Trojan effectively.