针对车联网无线链路中网络节点容易受到攻击和欺骗的问题,提出了一种基于开放式最短路径优先(Open shortest path first,OSPF)的新型安全链路状态路由协议(Secure link state routing protocol,SLSRP)算法。构建了基于动态贝叶斯网络的...
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针对车联网无线链路中网络节点容易受到攻击和欺骗的问题,提出了一种基于开放式最短路径优先(Open shortest path first,OSPF)的新型安全链路状态路由协议(Secure link state routing protocol,SLSRP)算法。构建了基于动态贝叶斯网络的信任量模型,用于实现节点的身份验证和完整性评价。在标准OSPF的基础上进行了可信化改进,引入了基于组合公钥(Combined public key,CPK)的安全认证技术,实现了新的安全链路状态路由协议。研究结果表明,所提出的算法在网络遭受攻击时,能够及时获取节点可信度的变化,在同等环境中具有更好的动态适应性和时效性,有利于用户选择更安全可信的信息传输路径。
通讯设备的定位与维修速度是影响通信专线稳定性的关键因素。为提高告警设备故障定位及检修效率,本文设计与实现了一个通信设备劣化性能与告警数据间关联规则自动生成系统。首先,采用Auto-Encoder模型对连续性能数据进行离散化处理,并利用转移矩阵寻找转移概率较小之离散性能数据,将其定义为劣化性能,这一过程旨在挖掘设备的劣化性能特征,统一劣化性能与告警数据的维度,生成与告警数据统一维度的时空二维布尔型数据集。接下来,本文采用深度优先的相互关联规则挖掘方法,将统一维度的二值化数据集作为输入,生成劣化性能与告警数据之间的时序传导规则。同时,为了提升数据处理效率,本文利用Jaccard系数在时间轴上对劣化性能数据进行压缩,合理降低数据规模,从而加速关联规则的生成过程。最后,通过结合离线学习和在线更新策略,系统能够实时输出劣化性能与相关数据之间的关联规则,从而推测并定位关联告警设备。本文基于运营商实际的政企专线数据集,进行了相关的运行测试。测试结果表明,该系统能够准确、快速地生成设备劣化性能数据与告警数据之间的关联规则,并实现根据在线劣化性能数据实时预测并定位关联告警设备的功能。The positioning and repair speed of communication equipment are key factors affecting the stability of communication leased lines. To improve the fault location and maintenance efficiency of alarm devices, this paper designs and implements an automatic system for generating association rules between the degradation performance of communication equipment and alarm data. First, the Autoencoder model is used to discretize continuous performance data, and a transition matrix is applied to identify discrete performance data with a small transition probability, which is then defined as degradation performance. This process aims to extract the degradation performance features of the equipment and unify the dimensions of degradation performance and alarm data, generating a spatiotemporal two-dimensional Boolean dataset with the same dimensions as the alarm data. Next, this paper uses a depth-first mutual association rule mining method, taking the unified-dimensional binary dataset as input to generate temporal propagation rules between degradation performance and alarm data. To enhance data processing efficiency, the Jaccard coefficient is employed to compress the degradation performance data along the time axis, reasonably reducing the data scale, thus accelerating the rule generation process. Finally, by combining offline learning and online updating strategies, the system can output association rules between degradation performance and related data in real-time, thereby predicting and locat
针对无人机分簇自组网中存在相邻簇因使用同一频段且覆盖范围重叠,从而引发数据包丢失并增加数据传输排队时延的问题,提出了一种低冲突的无人机自组网介质访问控制(A Low-conflict Hybrid Medium Access Control Protocol for UAV Netwo...
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针对无人机分簇自组网中存在相邻簇因使用同一频段且覆盖范围重叠,从而引发数据包丢失并增加数据传输排队时延的问题,提出了一种低冲突的无人机自组网介质访问控制(A Low-conflict Hybrid Medium Access Control Protocol for UAV Networks,LH-MAC)协议。该协议设计了干扰感知频段分配机制,在组网阶段通过节点泛听收集到的同频干扰信息,利用图着色理论,为潜在干扰的相邻簇分配独立频段;设计了感知信道的切频机制,在数据传输阶段通过适时切频减少簇间的干扰;设计了基于时帧调整的冲突减少机制,针对节点移动的特性,动态地调整时帧结构,减少了节点运行状态中簇间干扰。通过使用OPNET Modeler 14.5软件仿真模拟,验证了LH-MAC协议相较于现有介质访问控制(Medium Access Control,MAC)协议在降低丢包率和排队时延的同时,能够提高网络吞吐量。仿真结果表明,该协议可以有效提升无人机分簇自组网的网络性能,展现出良好的适用性。
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