ID 原文 译文
19795 基于AES加密方案将数据明文转化为密文存储； Data plaintext is converted into ciphertext storage based on the AES encryption scheme.
19796 采用改进的部分同态加密算法提升保序加密方案的安全性。 The improved partial homomorphic encryption algorithm is used to improve the security of sequential encryption scheme.
19797 通过安全性分析及实验结果表明，该方案在保证数据隐私的基础上，不但能抵御统计型攻击，而且能够有效地降低服务器计算开销，提高数据库处理效率。 The security analysis and experimental results show that this scheme can not only resist statistical attack, but also reduce effectively server computing cost and improve database processing efficiency on the basis of guaranteeing data privacy.
19798 针对大样本下未知干扰类型的分类识别问题，该文提出一种基于信号特征空间的未知干扰自适应识别方法。 In order to solve the problem of classification and recognition of unknown interference types underlarge samples, an adaptive recognition method for unknown interference based on signal feature space isproposed.
19799 首先，基于Hilbert信号空间理论对干扰信号进行处理，建立干扰信号特征空间，进而利用投影定理对未知干扰进行最佳逼近，提出基于信号特征空间的概率神经网络(PNN)分类算法，并设计了未知干扰分类识别器的处理流程。 Firstly, the interference signal is processed and the interference signal feature space is established with the Hilbert signal space theory. Then the projection theorem is used to approximate the unknown interference. The classification algorithm based on signal feature space with Probabilistic Neural Network(PNN) is proposed, and the processing flow of unknown interference classifier is designed.
19800 仿真结果表明，与两种传统方法相比，该方法在已知干扰的分类精度方面分别提高了12.2%和2.8%； The simulation results show that compared with two kinds of traditional methods, the proposed method improves the classification accuracy of the known interference by 12.2% and 2.8% respectively.
19801 满足条件的未知干扰最佳逼近效果随功率强度呈线性变化，设计的分类识别器在满足最佳逼近的各类干扰中总体识别率达到91.27%，处理干扰识别的速度明显改善； The optimal approximation effect of the unknown interference varies linearly with the power intensity in the condition, and the overall recognition rate of the designed classifier reaches 91.27% in the various types of interference satisfying the optimal approximation, and the speed of processing interference recognition is improved significantly.
19802 在信噪比达到4 dB时，对未知干扰识别准确率达到92%以上。 When thesignal-to-noise ratio reaches 4 dB, the accuracy of unknown interference recognition is more than 92%.
19803 移动网鉴权认证协议攻击不断涌现，针对5G网络新协议EAP-AKA ，该文提出一种基于Lowe分类法的EAP-AKA 安全性分析模型。 Mobile network authentication protocol attacks continue to emerge. For the new 5G network protocolEAP-AKA', an EAP-AKA' security analysis method based on Lowe’s taxonomy is proposed.
19804 首先对5G网络协议EAP-AKA 、信道及攻击者进行形式化建模。 Firstly, 5Gnetwork, EAP-AKA', communication channel and adversary are formally modeled.