Privacy Protection Strategy Research By Resource Allocation In Wireless Location Network

With the rapid development of wireless network positioning technology,high precision location information becomes the basis of many modern wireless location based services(LBS).However,in the process of providing convenient location service,location privacy problems are becoming more and more serious.Malicious masquerading nodes in the network can easily eavesdrop on the surrounding signals,which is one of the main hidden dangers of location security.At present,most studies focus on taking measures on security encryption or detection of attackers,the complexity of which is large.In this paper,optimal resources allocation based approaches are presented to protect the location privacy against the eavesdropper without additional procedure.Based on derivation of lower location error limits for wireless location networks,we give an introduction about protecting the location privacy against the eavesdropper with optimal resources allocation.This paper firstly researches a novel method of stealing location privacy,by which a novel eavesdropper is able to perform position estimation of the agent by purely overhearing the measurement signals between anchors and the agent which cause privacy issue.Based on the agent,anchor and eavesdropper,an eavesdropping location system model is built.Using this system,we can derive Cramer Rao Lower Bound(CRLB)standing for the performance of system target location and the CRLB for the performance of eavesdropping.The problem for getting optimal result is transformed to be convex optimization by using Taylor linearization and Lower and upper bounds.On this basis,this paper analyzed the privacy protection strategy.The system positioning error objective function and eavesdropping location error function were optimized simultaneously,and we also studied the relationship between the two functions.Following the principle of "easy first but difficult afterwards",we first studied the privacy protection in the synchronization networks.The results showed that the proper resource allocation strategies could prevent the eavesdropper from obtaining the valuable information from the intercepted messages.To make the results more convince,we also studied privacy protection in the asynchronous networks and compared with the results of synchronization networks.In the process it was found that there was a dynamic tradeoff between system location and privacy protection.Through the establishment of a joint objective function,we were able to find the optimal tradeoff points between system location and privacy protection.Data simulation results showed that the privacy protection strategy based on resources optimization allocation could achieve the privacy protection effect in certain system positioning accuracy requirements.In the actual application scenarios,in view of the uncertainty of the location of the eavesdropper,this paper proposed a resource allocation optimization of eavesdropper robustness,and proved that the robustness research can effectively help privacy protection.Summarized as follows,this paper mainly achieved the research of privacy protection by resource optimization allocation in the wireless positioning network.The process involved some privacy protection algorithms and programs,and expanded the scope of the study.