Research On The Prevention And Detection Technology Of Malicious Nodes In Wireless Sensor Networks

Wireless sensor network (WSN) are a new kind of wireless network composed of a large number of tiny sensors, which combines the technology of wireless communication, modern sensors, embedded system, information processing and intelligent system. These tiny wireless sensors integrate the functions of information collection, data collection and processing, wireless communication and cooperation, which provide a new real-time interactive platform and solving methods to directly interact with the real physical environment.Wireless sensor networks are often deployed in unattended environments or hostile conditions, and because of varied topology dynamically, shortage of identity authentication and the fragility link among nodes, there are a lot of security problem in WSN. When the attackers capture internal nodes, and inject a large amount of dirty data, leading to a network disorder, so the study of how to effectively eject the false data and effective detect malicious nodes has the extremely vital significance.This paper firstly analyzes the current research situation at home and abroad on false data filtering and malicious nodes detection in wireless sensor network, then proposes the corresponding mechanism to resolve these two problems.(1) Propose the LPEF(Location-based and Path-aware En-route Filtering) mechanism on false data filtering. This mechanism divided network into grids, and generate the final encryption key and the authentication key with the initial key and grid position information, it is good to prevent some attacks according to node location information And proposed the authentication path area concept, which means any node can only be authenticated by the nodes in the authentication path area. This reduces the authentication workload of the downstream nodes, and at the same time, it standardizes the data transmission direction, and reduces the probability of path attacks. This mechanism is a good solution to the threshold value problem, at the same time, it reduce the consumption of resources, and quickly and effectively detect false data and filter the dirty data.(2) The malicious nodes detection mechanism based on grid trust model. LPEF is a kind of passive defensive scheme and can’t detect and eject the malicious nodes. Aiming at this issue, the paper puts forward the malicious nodes detection mechanism. Based on the mature trust management model, this paper proposed a grid trust models to manage node trust value, which avoids the problems in global trust management model, such as complex calculation and difficult management. This paper particularly introduces the various trust value calculation, and how the trust model working. Finally, a simulation environment is established in OMNET++network simulation tools, and the common characteristics in wireless sensor network malicious attacks is simulated and analyzed particularly.