基于深度学习LSTM的侧信道分析

加密数据的安全性受到加密算法和加密设备的影响,为评估密码硬件的可靠性,能量分析等多种针对加密平台的攻击方法得到广泛应用.深度学习是一种性能良好的数据分析方法,基于深度学习的功耗侧信道攻击方法一经提出便引起关注.提出一种基于深度学习LSTM的侧信道攻击方法,利用相关功耗分析方法确定侧信道功耗数据的兴趣点,通过兴趣点位置选...

Side Channel Analysis Attack Based on Deep Learning LSTM

The security of encrypted data is affected by encryption algorithms and encryption devices.The reliability of the encryption devices can be tested by using multiple types of attacks, such as energy analysis.Among different attack methods, the method of side channel attacks based on deep learning has been widely concerned since it was proposed. This paper proposes a side channel attack method based on a deep learning network, LSTM.The method employs Correlation Power Analysis(CPA) to determine the interest points of the side channel power consumption data.Then based on the position of the interest points, an appropriate interest interval is selected as the feature vector to build the neural network model.The experimental results show that the LSTM model has higher efficiency in implementing side channel attacks than MLP and CNN.