大型云计算网络下的疑似危险信号检测系统的设计与研发  

Design and development of detection system for suspected danger signal in large cloud computing network

作　　者：饶正婵[1] 蒲天银[1] 

机构地区：[1]铜仁学院,贵州铜仁554300

出　　处：《现代电子技术》2015年第22期105-107,共3页Modern Electronics Technique

基　　金：贵州省科技厅联合项目(黔科合J字LKT[2012]10号);贵州省科学技术基金(黔科合J字[2013]2272号);铜仁学院课程建设与课程改革项目(2015xjkcgg-026)

摘　　要：传统大型云计算网络下疑似危险信号检测系统对任何一个疑似危险信号均产生报警,系统通常被海量的报警行为干扰,影响了真正的危险信号的检测,导致检测结果不准确的问题。设计并研发了一种引入二进制分段近似匹配方法的大型云计算网络下危险信号检测系统,给出了大型云计算网络下疑似危险信号检测系统的详细结构,通过实时将疑似危险信号检测模块检测到的信号和记忆模块中危险信号库的信号进行匹配,确定信号是否为疑似危险信号。采用记忆模块给出若干危险信号库,用于疑似危险信号的匹配。利用自适应模块发出报警信号和给出该疑似危险信号的特征信息,通过该特征数据对实时疑似危险信号检测模块进行调整。仿真实验结果表明,所设计的系统具有很高的检测精度和适应能力。The traditional detection system for suspected danger signal in the large cloud computing network gives an alarm to any suspected danger signal. The system is usually disturbed by the huge amounts of alarm actions, which affects on the detection of the true danger signal, and leads to the inaccurate detection results. The detection system for danger signal in large cloud computing networks was designed and developed, into which the segmentation approximate matching method of binary is introduced. The detailed structure of the detection system for suspected danger signal in large cloud computing network is of- fered. The signal detected by the suspected danger signal detection module is matched with the signal in danger signal library of the memory module in real time to determine whether the signal is the suspected danger signal. The alarm signal and the feature information of the suspected danger signal are emitted by the adaptive module. The real-time detection module for suspected dan- ger signal is adjusted according to the feature data. The simulation experimental results show that the designed system has high detection precision and adaptability.

关 键 词：大型云计算网络 疑似危险信号 检测系统 记忆模块 

分 类 号：TN710-34[电子电信—电路与系统] TP393[自动化与计算机技术—计算机应用技术]