ID 原文 译文
45726 分别得出在正负外部性下，面对不同类型的攻击时，最优信息安全投资与脆弱性、潜在损失和投资效率的关系，并且比较了与社会最优条件下最优信息安全投资的差别。 The relationships of the optimal information security investment with vulnerability, potential loss and investment effectiveness when confronted with different attack types under the positive and negative externalities were obtained respectively, and the difference with the optimal information security in-vestment under the social optimum condition was compared.
45727 结果表明，正外部性条件下的信息安全投资变化规律与单一组织的情况相比存在一定相似之处，但负外部性下的信息安全投资改变较大，总体更加谨慎，并且攻击类型对于信息安全投资有着重要影响。 The results show that there were some similarities in the varying pattern of information security investment between the condition of the positive externality and a single organization, but information security investment under the negative externality changes greatly and was generally more cautious, and attack types also have important impacts on information security investment.
45728 WSN 无线链路不可靠，分组丢失现象普遍存在， The unreliable links and packet losing are ubiquitous in WSN.
45729 且基于压缩感知（CS）数据收集算法对分组丢失十分敏感。 The performance of data collection algorithm-based on compressive sensing is sensitive to packet losing.
45730 首先，通过实验对分组丢失率和基于 CS 数据重构精度关系进行定量研究，提出极稀疏块观测矩阵，在降低每轮数据采集能耗的同时，也保持观测矩阵的近似低秩性质。 Firstly, the relationship between packet loss rate and CS-based reconstruction precision was analyzed, and the sparsest block measurement (SBM) matrix was formulated to keep the data gathering consumption smallest and make sure the low-rank property of measurements.
45731 其次，结合矩阵补全（MC）技术与 CS 技术，提出基于极稀疏块观测矩阵的压缩感知数据收集算法， Then, combined with the matrix completion (MC) and compressive sensing (CS), the CS data gathering algorithm based on sparsest block measurement matrix (CS-SBM) algorithm was proposed.
45732 在一个采集周期内进行数据收集，利用 MC 技术恢复丢失数据，减少分组丢失对数据收集的影响； CS-SBM gathered data in a period and recovered the loss data based on MC to weaken the impact of packet loss on data gathering.
45733 利用 CS 技术重构全网数据，减少数据收集量，降低节点在数据收集时所需能耗，延长网络寿命。 CS-SBM reconstructed data based on CS to reduce measurement number and energy consumption and prolong the network lifetime.
45734 仿真分析表明，所提算法在分组丢失率小于 50%的情况下能够保证高精度重构全网数据，抵抗不可靠链路。 Simulation analysis indicates that the proposed algorithm reconstruct the whole data with high-accuracy under 50% packet loss rate, resisting unreliable links effectively.
45735 在认知无线电网络（CRN）中，主次用户之间可以有效地实现频谱共享（频谱协作），提高频谱利用率； Cognitive radio (CR) can improve spectrum utilization by spectrum sharing or cooperation between the primary user and secondary users.