Research on transaction security detection algorithm for Large-scale e-commerce website

The large-scale e-commerce website transaction security detection methods are studied. For the defect that the large-scale e-commerce website transaction security detection is susceptible to be interfered by ambient noise, a large-scale e-commerce website transaction security detection method based on characteristic attribute mapping model is proposed. According to principal component analysis method to process redundant transaction data of large e-commerce websites, so as to reduce the complexity of the data. Characteristic attributes mapping model is established to achieve intrusion detection when transacting on the large-scale e-commerce website, to determine the security of transactions. Experimental results show that the use of proposed algorithm for large-scale e-commerce websites transaction security detection, can greatly improve the accuracy of detection, so that obtaining satisfactory results.