As one of the typical method for side channel attack,DPA has become a serious trouble for the security of encryption algorithm implementation.The potential capability of DPA attack induces researchers making a lot of ...As one of the typical method for side channel attack,DPA has become a serious trouble for the security of encryption algorithm implementation.The potential capability of DPA attack induces researchers making a lot of efforts in this area,which significantly improved the attack efficiency of DPA.However,most of these efforts were made based on the hypothesis that the gathered power consumption data from the target device were stable and low noise.If large deviation happens in part of the power consumption data sample,the efficiency of DPA attack will be reduced rapidly.In this work,a highly efficient method for DPA attack is proposed with the inspiration of genetic algorithm.Based on the designed fitness function,power consumption data that is stable and less noisy will be selected and the noisy ones will be eliminated.In this way,not only improves the robustness and efficiency of DPA attack,but also reduces the number of samples needed.With experiments on block cipher algorithms of DES and SM4,10%and 12.5%of the number of power consumption curves have been reduced in average with the proposed DPAG algorithm compared to original DPA attack respectively.The high efficiency and correctness of the proposed algorithm and novel model are proved by experiments.展开更多
传统的模板攻击方法在模板构建阶段通常需要进行大量的计算,在计算协方差矩阵时甚至会遇到一些无法得出结果的情况。通过对模板攻击技术的深入研究,简化了模板结构,改进了模板构建方法,提出了一种新型模板攻击策略,成功解决了这些问题;...传统的模板攻击方法在模板构建阶段通常需要进行大量的计算,在计算协方差矩阵时甚至会遇到一些无法得出结果的情况。通过对模板攻击技术的深入研究,简化了模板结构,改进了模板构建方法,提出了一种新型模板攻击策略,成功解决了这些问题;同时,还独立完成了侧信道数据采集平台的开发,并编写了PC端的侧信道攻击软件。针对在Mage16单片机开发板上实现的AES加密算法,进行了基于模板的差分功耗分析(differential power analysis,DPA)攻击。实验结果表明,该方法能有效地避免传统的模板攻击可能发生的数值计算问题,相比于普通的DPA攻击,该方法所需要的能量迹数量大幅减少,有力地证明了该方法的有效性和实用性。展开更多
基金This work was supported by National Key R&D Program of China(Grant No.2017YFB0802000)National Natural Science Foundation of China(Grant No.U1636114,61772550,61572521)National Cryptography Development Fund of China(Grant No.MMJJ20170112).
文摘As one of the typical method for side channel attack,DPA has become a serious trouble for the security of encryption algorithm implementation.The potential capability of DPA attack induces researchers making a lot of efforts in this area,which significantly improved the attack efficiency of DPA.However,most of these efforts were made based on the hypothesis that the gathered power consumption data from the target device were stable and low noise.If large deviation happens in part of the power consumption data sample,the efficiency of DPA attack will be reduced rapidly.In this work,a highly efficient method for DPA attack is proposed with the inspiration of genetic algorithm.Based on the designed fitness function,power consumption data that is stable and less noisy will be selected and the noisy ones will be eliminated.In this way,not only improves the robustness and efficiency of DPA attack,but also reduces the number of samples needed.With experiments on block cipher algorithms of DES and SM4,10%and 12.5%of the number of power consumption curves have been reduced in average with the proposed DPAG algorithm compared to original DPA attack respectively.The high efficiency and correctness of the proposed algorithm and novel model are proved by experiments.
文摘传统的模板攻击方法在模板构建阶段通常需要进行大量的计算,在计算协方差矩阵时甚至会遇到一些无法得出结果的情况。通过对模板攻击技术的深入研究,简化了模板结构,改进了模板构建方法,提出了一种新型模板攻击策略,成功解决了这些问题;同时,还独立完成了侧信道数据采集平台的开发,并编写了PC端的侧信道攻击软件。针对在Mage16单片机开发板上实现的AES加密算法,进行了基于模板的差分功耗分析(differential power analysis,DPA)攻击。实验结果表明,该方法能有效地避免传统的模板攻击可能发生的数值计算问题,相比于普通的DPA攻击,该方法所需要的能量迹数量大幅减少,有力地证明了该方法的有效性和实用性。
