PDA上ECC电磁分析神经网络分类方法

The Classified Technique of ANN for SEMA Attack against ECC on PDA

电磁分析攻击是对PDA等移动终端设备的椭圆曲线密码系统进行攻击的有效手段。简单电磁分析攻击中的信号分类是一个难点问题。文章针对椭圆曲线密码系统中的标量乘法运算时发射的电磁信号,运用人工神经网络技术进行分类判别,从而获取标量乘法中的秘密参量。

Electromagnetic analysis （EMA） attack is an effective means of attacking on Elliptic Curve Cryptography （ECC） Computations on mobile devices such as PDA. The classification of signals in SEMA （Simple EM Analysis） is a difficult problem. In this paper, it applies the technique of Artifici-al Neural Network to classify the EM signals from the scalar multiplication in ECC, and gets the secret parameter in scalar multiplication successfully.