ID 原文 译文
45136 实验分析了捕获能量、储能容量以及节点数目对多接入信道容量的影响， In the simulations, the effect of harvested energy, storage capacity and the number of nodes on the channel capacity were analyzed respectively.
45137 同时实验结果表明，相比传统节点采用电池作为单一储能单元，采用混合储能结构可以有效地提高节点的捕获能量数值，使其在信号的发送上采用多进制的传输方式，进而增大多接入信道的容量。 Experiment results show that compared with the conventional wireless node with single battery storage, the proposed hybrid energy storage structure can improve the harvested energy value and increase the multiple access channel capacity by using adaptive modulation scheme when transmitting the signals.
45138 软件定义网络（SDN, software defined networking）简化了网络结构，但同时控制器也面临着“单点失效”的安全威胁。 Software defined networking (SDN) simplifies the network architecture, while the controller is also faced with a security threat of “single point of failure”.
45139 攻击者可以发送大量交换机流表中并不存在的伪造数据流，影响网络正常性能。 Attackers can send a large number of forged data flows that do not exist in the flow tables of the switches, affecting the normal performance of the network.
45140 为了准确检测这种攻击的存在，提出了基于条件熵和 GHSOM（growing hierarchical SOM）神经网络的 DDoS 攻击检测方法MBCE&G 。 In order to detect the existence of this kind of attack, the DDoS attack detection method based on conditional entropy and GHSOM in SDN (MBCE&G) was presented.
45141 首先，依据此 DDoS 的阶段性特征，定位了网络中的受损交换机以发现可疑攻击流； Firstly, according to the phased features of DDoS, the damaged switch in the network was located to find the suspect attack flows.
45142 然后，依据可疑攻击流种类的多样性特征，以条件熵的形式提取了四元组特征向量，将其作为神经网络的输入特征进行更加精确的分析； Then, according to the diversity characteristics of the suspected attack flow, the quaternion feature vector was extracted in the form of conditional entropy, as the input features of the neural network for more accurate analysis.
45143 最后，搭建了实验环境完成验证。 Finally, the experimental environment was built to complete the verification.
45144 实验结果显示，MBCE&G 检测方法可以有效检测 SDN 中的 DDoS攻击。 The experimental results show thatMBCE&G detection method can effectively detect DDoS attacks in SDN network.
45145 首先根据高阶循环累积量的半不变性重新推导了信号和高阶循环累积量之间的关系式， By utilizing the half invariant property of high-order cyclic cumulants, the equation of signals and its high-order cyclic cumulants was rederivated first.