基于混沌噪声的抗功耗攻击技术

Power analysis attack technique by using chaotic noise

讨论了利用细胞神经网络产生混沌的基本原理,给出基于混沌噪声的防护技术的实施方法及实现结构,并分析了其安全性.实验结果表明,混沌噪声技术具有良好的抗功耗攻击能力,且具有可行性和普遍适用性;不仅易于集成和控制,而且可以保护多个不同密码算法模块免受功耗攻击.为防止攻击者采用诸如滤波和模式识别等信号处理技术消除功耗样本中的噪声提供了有效技术手段.

To prevent power analysis attack, the chaotic noise based countermeasure was presented. The architecture of the cellular neural network based chaotic noise generator was demonstrated. The presented method was able to protect different kinds of cryptographic devices. The chaotic noise module could be easily programmed and integrated to a secure SoC （system on chip）. Because of the high unpredictability, the chaotic noise based countermeasure was immune against the signal processing techniques including adaptive filtering and pattern recognition.