Trust Value Management Method of Sensor Nodes in Wireless Sensor Networks Based on Tree Topology Structure of IPv6

Abstract

The invention discloses a trust value management method of sensor nodes in a wireless sensor network based on an IPv6 tree topology, comprising the following steps: periodic trust value evaluation is performed between sensor nodes; each sensor node reports its For the evaluation result of the trust value of the neighbor node; the evaluation result of the trust value of all neighbor nodes for a certain sensor node and the evaluation result of the trust value of the Sink node for the sensor node; the evaluation of the trust value includes at least intimacy, loyalty, power consumption and The degree of cooperation in four dimensions. The invention combines the four dimensions of intimacy, loyalty, power consumption and cooperation to evaluate the node trust value, and the trust value evaluation result has high accuracy and reliability; the attack node is detected in time and processed to ensure the sensor network The security and reliability of data communication; reduce the occupation of network resources by security algorithms, and have a good adaptability to dynamically changing network topologies.

Description

technical field [0001] The invention relates to a method for managing trust value of sensor nodes in a wireless sensor network based on IPv6 tree topology. Background technique [0002] At present, wireless sensor networks have gradually become a research hotspot in the academic circles, and have received extensive attention from the industry. Although due to technical constraints, the large-scale commercial application of wireless sensor networks is not mature enough, but due to its extremely broad application prospects, many research institutions and companies in many countries around the world have invested a lot of energy in related research. Work. Especially in recent years, with the decrease of computing cost and the shrinkage of microprocessor size, some wireless sensor networks have been put into use. Among them, typical applications include: environmental monitoring and protection, using wireless sensors to collect environmental data, monitoring pollutant emission...

AI Technical Summary

Problems solved by technology

[0013] 4. Sybil attack: The attack node uses a variety of identity information to deceive other neighbor nodes, so that other nodes preferentially choose this node for routing, and then carry out other attack behaviors;

[0015] 6. Energy exhaustion attack: Since new nodes need to be dynamically added to the wireless sensor network, and after the new node joins the network, it will interact with its neighbor nodes through the "HELLO" message. The attack node uses this process to continuously send a large number of "HELLO" information, neighbor nodes need to respond to a large number of "HELLO" information, the energy is continuously consumed, and finally the battery is quickly exhausted

However, in the process of evaluating the trust value of sensor nodes, the evaluation dimension used is relatively single, which leads to low accuracy and poor reliability of the evaluation results of trust value

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