Intrusion Detection System, Based On The Squeezer Algorithms And Java Technology For Wsn

Wireless sensor network is based on the data center, by way of self-organization a network, while nodes in the sensor with the external environment in which the various signals detected from a lot of anomalies, which can be achieved on the monitoring of the environment.The data in wireless sensor networks based on the form of data streams, how to dynamically changing data from a large number of useful information quickly is very important significance.Data stream mining is a new research of data mining, outlier detection is an important part of data stream mining. The displaced groups based on the data detection for wireless sensor network anomaly intrusion detection has also been the concern of the academic network security, domestic and international concern about some meetings or papers related to the application of their research, but no concrete related products.Squeezer algorithm is a data stream suitable for outlier detection algorithm to quickly detect in the data stream to achieve abnormal, also suitable for wireless sensors to detect outliers.In this paper, a Java development technology and data stream mining technology, design a wireless sensor environment, the intrusion detection system model, and the related requirements analysis, system model design, and the generation and application of the system prototype, test results show that the system Good test results, a higher value.