ID 原文 译文
44456 为提高空间信息网络的资源利用率，将虚拟化技术应用到空间信息网络中，对底层物理资源进行了分类，建立了基于虚拟化的空间信息网络体系结构。 In order to improve the resource utilization of space information network, the virtual technology was applied to the space information network, and the underlying physical resources are classified, and the space information network architecture based on virtualization is established.
44457 在此基础上，针对底层物理资源被占用量不断改变导致利用率过高或过低的情况，研究了空间信息网络资源重配置方法，设计了资源重配置结构，重点对重配置启动算法进行了研究，为避免资源的浪费，分析了重配置请求次数的极限值。 On this basis, in view of the constant change in the amount of the underlying physical resources, which results in high or low utilization, the reconfiguration method of space information network resources was studied and the reconfiguration of resources was designed. The emphasis was made on the Restart Algorithm of reconfiguration. In order to avoid resource waste, the limit value of the number of reconfiguration requests was analyzed.
44458 最后，研究了基于拍卖机制的空间信息网络资源分配方法。 Finally, a spatial information network resource allocation method based on auction mechanism was studied.
44459 智慧城市利用先进的信息技术和通信技术实现城市智能的高效运行，在运行过程中会产生海量多源异构数据。 Smart city use advanced information technology and communication technology to achieve efficient operation of urban intelligence, which generates massive multi-source heterogeneous data during its operation.
44460 然而，这些数据通常包含大量的个人或组织的敏感信息，在采集过程中面临着严重的隐私泄露风险。 However, this data usually contains a large amount of sensitive information of individuals or organizations, which makes the data facing a serious risk of privacy leakage during the collection process.
44461 此外，城市数据具有动态性强、增长迅速、实时性强等特点，使得传统的数据采集隐私保护方法不再适用。 In addition, urban data has the characteristics of strong dynamics, rapid growth, and strong real-time performance, making traditional data collection privacy protection methods no longer applicable.
44462 针对城市大数据的特点，采用   ,k  –匿名模型作为数据采集隐私保护方案，利用分布式框架 MapReduce 对海量、动态数据集进行处理，提出了一种适用于大规模动态环境下的城市大数据采集隐私保护方案。 In view of the characteristics of urban big data, the ( ) ,k a -anonymous model was adopter as the data collection privacy protection scheme, and the distributed framework MapReduce was used to process massive and dynamic data sets, and a city big data collection privacy suitable protection plan for large-scale dynamic environment was proposed.
44463 实验结果和理论分析表明，所提方案不仅能有效保护数据隐私，还具有减少信息损失量和降低执行时间的特点。 The experimental results and theoretical analysis show that the scheme not only can effectively protect data privacy, but also has the characteristics of small information loss and low execution time.
44464 设计一种以系统特征主动变化为典型特点的主动防御技术，通过随机化系统攻击面来降低攻击成功的可能性，通过增加系统的动态性缩短攻击的有效期，通过多样化系统集合来限制大规模攻击造成的安全损失。 To design an active defense technology with system features active change as a typical feature, reducing the possibility of attack success by randomizing the system attack surface, shortening the validity period of the attack by in-creasing the dynamics of the system, limiting the security losses caused by large-scale attacks by diversifying the system set.
44465 首先对移动目标防御原理进行了综述，定义了软件定义网络的攻击面，提出了隐藏、混淆和动态多样性 3 种网络特征隐藏方式。 The principle of mobile target defense is summarized firstly, then the attack surface of software-defined network is defined, and three network feature hiding methods of hiding, confusion and dynamic diversity are proposed.