A Secure Aggregation Routing Protocol with Authentication and Energy-Saving on Data Mining and Big Data

In the era of big data, with the mining of the value of big data, wireless sensor network has been more and more widely used. However, due to the limited and uneven resource distribution of the sensor equipment, the service life of the wireless sensor is seriously affected. Moreover, the problem of privacy leakage in wireless sensor networks is becoming more and more serious. In order to solve the resource-constrained and privacy-leaking problems of nodes, we propose a secure convergent routing protocol with authentication and energy-saving. First, a new cost function calculation method is proposed. Aiming at the resource limitation of sensor nodes, the communication cost calculation function of each node is designed by synthesizing the residual energy of the node, the distance from the sink node and the current link quality, to measure the communication cost of wireless sensor nodes dynamically. The data transmission path is designed by changing the cost function. Secondly, a key agreement protocol with authentication function is designed. In order to solve the problem of privacy leakage in the communication process, a trusted registration node is used to register the node and distribute the authorization information, mutual authentication and session key negotiation are carried out, a key agreement scheme with authentication function is designed for safe and efficient key distribution. Finally, through performance analysis, we verify that our protocol consumes less total energy than the other two related protocols.