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机构地区:[1]武昌理工学院信息工程学院计算机网络系,武汉430223
出 处:《科技通报》2015年第8期72-74,共3页Bulletin of Science and Technology
摘 要:传统方法采用嵌入式匹配滤波方法进行Linux网络远程监控,无法有效掌握网络大数据和远程Linux网络监控信息传输动态特性,监控效果不好。提出一种基于嵌入式系统的Linux网络远程监控设计方法。采用阻抗匹配激励机制提高嵌入式系统Linux网络远程监控信息传输和通信过程中的发射效率,采用失真衰减抑制方法,对监控信息的失真进行有效抑制,求取监控信息状态转移概率,有效克服接收信号的幅度经过放大后就会出现过大或过小的情况发生,解决监控识别过程中的敏感编码超外差干扰影响。以远程网络监控的对数据的丢包率和对异常网络信息的准确检测率为指标进行仿真,结果表明,采用该算法进行嵌入式系统Linux网络远程监控,能有效降低数据信息传输的丢包率,且对异常数据的检测概率较高,能有效识别攻击数据和不端数据,提高远程Linux网络监控信息数据识别精度,保障网络安全。The traditional method of using embedded matched filtering method for Linux network remote control, it cannot control network large data and remote Linux network monitoring information transmission and dynamic characteristics, control effect is not good. This paper puts forward a design method of Linux network remote monitor based on embedded system. The impedance matching of incentive mechanism to improve the emission efficiency of Linux embedded system remote monitoring of network information transmission and communication process, using the distortion attenuation distortion suppression method of monitoring information, effectively reduce the calculating and monitoring information state transition probability, effectively overcome the received signal amplitude is amplified and there will be occurred in large or small case sensitive code monitor recognition process in solving the super heterodyne interference effect. To the remote network monitoring of the data packet loss rate and the abnormal network information accurately detection rate as the index of simulation results show that using this algorithm for embedded system, remote monitor and control for Linux network, packet loss can effectively reduce the data transmission rate, and the higher the probability of detection of abnormal data, can effectively identify the attack data and misconduct data, improve the accuracy of remote Linux network monitoring information recognition, network security.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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