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The Research of Intrusion Detection Scheme Based on Weighted Trust Evaluation for Wireless Sensor Networks

Author: JuLong
Tutor: LiKeQiu
School: Dalian University of Technology
Course: Applied Computer Technology
Keywords: Malicious node detection Wireless sensor networks Weight trust mechanism
CLC: TN918.82
Type: Master's thesis
Year: 2011
Downloads: 28
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Abstract

Wireless sensor networks (wireless sensor networks) is a wireless sensor node through a multi-hop self-organizing network, used to collect various application data within the coverage area, it has a large-scale coverage, randomly laid characteristics of self-organization, and to adapt to the environment. With the development of computer, wireless communications, and MEMS technology, wireless sensor networks has been rapidly gaining popularity and is widely used in military detection, environmental monitoring, transportation, maintenance, health care and other many fields. With the development of wireless sensor networks, security issues have become increasingly prominent. Sensor nodes are often deployed in the area of ??the field or in a bad environment, no one is to preserve and protect them, so the wireless sensor networks are vulnerable to a variety of attacks, such as malicious node data forgery, discarded and eavesdropping, or direct physical damage threat. Once a wireless sensor node capture enemy malicious, it send the error data to the base station will directly affect the results of the monitoring of the entire network. An effective way to prevent malicious attacks for wireless sensor network security research is very necessary. This paper summarizes the prevention and detection strategies wireless sensor networks in several typical attack model and the current model for these attacks, and the strengths and weaknesses of the existing security policies do clear security policy research in wireless sensor networks faced problems and directions for further research. Secondly, we study the existing right of passage heavy trust evaluation mechanism to detect malicious node method based on improved. Weight trust evaluation mechanism main idea is to assign a weight to each wireless sensor nodes, with each round of data transmission, the weights constantly updated, when a wireless sensor node weights below a threshold value, it is detection for malicious nodes. The improved algorithm weights makes the profile more accurate, thereby significantly reducing the failure detection rate of malicious nodes. Again, through the simulation experiment comparison, the improved method of comparison node weights and be able to make the final results more accurate information monitoring. With the expansion of the network and malicious nodes in the entire network in the increase in the number of malicious node detection rate did not reduce the rate of loss measured but lower, more effectively detect malicious nodes. Finally, a summary of this paper work done.

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