Abstract. The automatic positioning method of malicious mobile nodes in wireless sensor networks is one of the security content of wireless sensor networks, which has the extremely important research significance. In the traditional wireless sensor networks, the location of the malicious mobile nodes needs to be provided support by the regional monitoring of the nodes under attack. The power consumption and cost are greatly limited. Therefore, we proposed a fuzzification malicious mobile node positioning algorithm, which was based on the existing network node positioning function and the MONTE CARLO positioning algorithm. It filtered the periodical information for fuzzy processing, which could still be highly accurate positioning under the asking with smaller communication data. The simulation results show that the proposed method is simple, the interface and port are uniform, and the computing speed and positioning accuracy are improved.

Abstract.With the advent of the Internet era, the network has been widely used in production and life, and network security has become a hot topic. Nowadays, the traditional prevention technology is difficult to prevent the various increasing network attacks. There is an urgent need for a complex network intrusion detection technology to ensure the normal use of the network. According to the above problems, this paper studies the problem of network intrusion detection technology in dynamic and complex background. This paper introduces the network intrusion detection technology under dynamic background, and expounds the basic idea of detection, detection system model and packet capture device of detection system, and then analyzes the technical advantages of the detection system. the experiment proves that the network intrusion detection system can detect intrusion quickly and accurately to prevent intrusion.