密码芯片基于聚类的模板攻击

Template attack of Crypto chip based on clustering

传统的模板攻击需要已知密钥建模等对实验设备完全控制的前置条件来实施攻击,该前置条件限制了模板攻击的应用场景,使模板攻击只能应用于可以控制密钥输入的设备。为了解决该问题,提出了基于聚类的模板攻击方法。该方法根据信息泄露模型的特征对聚类期望最大值(EM)算法进行改造,使改造后的聚类方法能够较为准确地拟合出泄露信息的概率模型,在未知密钥的情况下,即可确定信息泄露的位置。该方法通过建模进行模板匹配,消除了传统模板攻击对已知密钥建模等前置条件的依赖,从而扩大了模板攻击的应用范围。

The known-key establishment template and others full control of experimental equipment preconditions are required to implement the traditional template attack.The preconditions restrict the application scenario of template attack.The template attack is only applied to the device that the key input can be controlled.In order to resolve the restrictive preconditions,a novel method of template attack based on clustering was proposed.The clustering EM algorithm was modified according to the characteristics of information leakage model in the method.The modified clustering methods accurately fitted the leaked information probability model in the case of unknown key,the location of information leakage could be determined.Then the attack established the templates in the location,and implemented template matching.The proposed method eliminates the dependence of traditional template attacks on per-conditions and expand the application scenario of template attack.