The network anomaly detection in intelligent patrol is based on the trigger of a single threshold of network element performance parameters in patrol task, which has a high false alarm rate and low efficiency. In orde...The network anomaly detection in intelligent patrol is based on the trigger of a single threshold of network element performance parameters in patrol task, which has a high false alarm rate and low efficiency. In order to effectively and accurately integrate network performance, this paper proposes to mine network element performance data and network element log information in the integrated automatic patrol to detect network anomalies. Because log files have a large amount of data and a variety of types, and log data has a complex structure and contains large implied information. The relationship between network anomalies and time can actively discover through the analysis of the log files. Therefore, big data mining and classification can greatly improve the efficiency of data processing. However, the accuracy of finding network anomalies is insufficient only for log analysis. Therefore, this paper puts forward the performance indexes collected in the log analysis and patrol inspection system and adopts the sequence analysis algorithm to detect network anomalies, so as to improve the accuracy and efficiency of detection.展开更多
针对传统接触式电子巡更系统扫描速度慢、工作效率低的不足,提出一种基于RFID(Radio Frequency Identification无线射频识别)的手持离线非接触式电子巡更系统。该系统由射频识别模块、读卡器控制模块构成的手持巡更机、固定在巡更点处...针对传统接触式电子巡更系统扫描速度慢、工作效率低的不足,提出一种基于RFID(Radio Frequency Identification无线射频识别)的手持离线非接触式电子巡更系统。该系统由射频识别模块、读卡器控制模块构成的手持巡更机、固定在巡更点处的IC卡和中央管理界面组成,能够进行了串口通信、数据库管理以及基于Lab Windows的管理界面的软件程序设计。实验表明,该系统能实现离线非接触式电子巡更功能,可识别和记录巡更地点、时间并进行检查和存储,具备扫描速度快、无接触、安全性高、造价低的优点,具有广阔的应用前景。展开更多
文摘The network anomaly detection in intelligent patrol is based on the trigger of a single threshold of network element performance parameters in patrol task, which has a high false alarm rate and low efficiency. In order to effectively and accurately integrate network performance, this paper proposes to mine network element performance data and network element log information in the integrated automatic patrol to detect network anomalies. Because log files have a large amount of data and a variety of types, and log data has a complex structure and contains large implied information. The relationship between network anomalies and time can actively discover through the analysis of the log files. Therefore, big data mining and classification can greatly improve the efficiency of data processing. However, the accuracy of finding network anomalies is insufficient only for log analysis. Therefore, this paper puts forward the performance indexes collected in the log analysis and patrol inspection system and adopts the sequence analysis algorithm to detect network anomalies, so as to improve the accuracy and efficiency of detection.
文摘针对传统接触式电子巡更系统扫描速度慢、工作效率低的不足,提出一种基于RFID(Radio Frequency Identification无线射频识别)的手持离线非接触式电子巡更系统。该系统由射频识别模块、读卡器控制模块构成的手持巡更机、固定在巡更点处的IC卡和中央管理界面组成,能够进行了串口通信、数据库管理以及基于Lab Windows的管理界面的软件程序设计。实验表明,该系统能实现离线非接触式电子巡更功能,可识别和记录巡更地点、时间并进行检查和存储,具备扫描速度快、无接触、安全性高、造价低的优点,具有广阔的应用前景。
