关键词: 旁路分析, 支持向量机, 操作识别, 移动设备

Abstract: On account of the effect of noise in side-channel analysis, the encryption process of RSA can’t be observed directly, a side-channel analysis method based on support vector machine is proposed. The square and multiplication operations of RSA binary modular exponentiation are identified from the angle of classification, and the RSA binary keys sequence are deduced on the basis of the correlation between the keys and the encryption operations. Based on it, it carries out the electromagnetic side-channel analysis for RSA on the mobile device PCM-9589F multi-board, using serial communication technology to collect the electromagnetic signal of CPU on the target device, and using the method which known as single class support vector machine based on the boundary to recognize the square and multiplication operations of the RSA binary modular exponentiation, the threshold of the classification accuracy is set to 70%, then the 1,024 bits RSA binary keys sequence are extracted. Compared to traditional simple analysis method, this method overcomes the problem that the keys can’t be cracked due to the inferior signal quality.

Key words: side-channel analysis, support vector machine, operations recognition, mobile device