ID 原文 译文
24215 实验结果表明，该文算法针对图像的光照条件不同、角度旋转、分辨率低、尺度变化等均有良好的鲁棒性和稳定性，该文算法是一种耗时短、精确度高、拼接效果良好的图像拼接方法。 The experiment results show that the method has strong robustness and stability for lighting, rotation, resolution and scaling. The proposed method has high precision, and can achieve fine image mosaic results.
24216 软件定义网络(SDN)受到分布式拒绝服务(DDoS)攻击时，攻击方会发送大量数据包，产生大量新的终端标识占用网络连接资源，影响网络正常运转。 During the Distributed Denial of Service (DDoS) attack happening in Software Defined Network (SDN) network, the attackers send a large number of data packets. Large quantities of new terminal identifiers are generated. Accordingly, the network connection resources are occupied, obstructing the normal operation of the network.
24217 为准确发现受攻击对象，检测被占用资源，利用 GHSOM 技术，该文提出基于对象特征的 DDoS 攻击检测方法。 To detect the attacked target accurately, and release the occupied resources, a DDoS attack detection method based on object features with the GHSOM technology is provided.
24218 首先，结合 SDN 网络及攻击特点，提出基于目的地址的检测 7 元组，并以此作为判断目标地址是否受到 DDoS 攻击的检测元素； First, the seven-tuple is proposed for detection to determine whether the target address is under attack by DDoS. To detect the attacked target accurately, and release the occupied resources, a DDoS attack detection method based on object features with the GHSOM technology is provided.
24219 然后，采用模块化设计，将 GHSOM 算法应用于 SDN网络 DDoS 攻击的分析检测中，并在 OpenDayLight 的仿真平台上完成了仿真实验。 Then, a simulation platform is built, which is based on the OpenDayLight controller. GHSOM algorithm is applied to the network. Simulation experiments are performed to validate the feasibility of the detection method.
24220 实验结果显示，该文提出的检测 7 元组可有效检测目标对象是否受到 DDoS 攻击。 The results show that the seven-tuple for detection can effectively confirm whether the target object is under a DDoS attack.
24221 网络资源的有限性和网络管理的分散性是传统网络难以解决分布式拒绝服务攻击问题的重要原因。 The limitations of network resource and the dispersion of network management are the two major difficulties for traditional networks to address the Distributed Denial of Service (DDoS) attacks.
24222 当前的防御方法存在静态性、滞后性的不足，并且难以定位攻击者。 However, current defense methods are static and hysteresis, which are unable to locate the attackers accurately.
24223 针对上述问题，该文提出一种动态防御的方法。利用软件定义网络(SDN)集中控制和动态管理的特性构建 OpenFlow 交换机洗牌模型，使用贪心算法实现用户-交换机连接的动态映射，通过多轮洗牌区分出用户群中的攻击者和合法用户，对合法用户提供低延迟不间断服务。 Therefore, a dynamic defense using the two pivotal features, centralized control and dynamic management, of Software Defined Networks (SDN) is proposed. An OpenFlow-based switch shuffling model is built which employs greedy algorithm to remap user-switch link dynamically. After several shuffling, attacker could be differentiated from legitimate users and provide the latter with low latency uninterrupted services.
24224 在开源SDN 控制器 Ryu 上实现原型系统，并在 SDN 环境下进行测试。 The proposed approach is implemented in Ryu, the open source SDN controller, and the prototype is tested in a real SDN.