Privacy-Preserving Auxiliary Traffic Violation Monitoring System Based On Crowd Sensing

In recent years,public security,transportation and other government departments have arranged electronic violation monitoring equipment in many special areas,in order to punish traffic violations and preserve the public order.However,these plenty of expensive infrastructures such as cameras are often deployed in fixed locations on public roads,which leads to the fact that some areas cannot be covered completely.Moreover,as this equipment usually placed in the outdoor,making them easy to be damaged and costly to maintain.The above problems have not been well solved.With the development of wireless communication technology and the popularization of mobile terminal devices,the application system based on crowd sensing is widely concerned.Today smart phones are equipped with a variety of inductive components which have very strong computing and sensing capabilities.By analyzing a large number of positive or passive sensing data of mobile device users through specific model and algorithm,we can solve many important practical problems in our daily life.Moreover,the popularity of cloud computing makes more and more data storage and computation work outsourced to cloud servers.This is also because the cloud servers generally have more powerful storage and computing capabilities,as well as simple deployment and flexibility.Data owners want to take advantage of cloud computing by delivering data to the cloud platform for storage,management,and computing.However,in such a cloud outsourcing scenario,how to ensure the security of the data owner's sensitive data is a critical issue.Based on the above background,this paper puts forward a scheme of traffic violation monitoring auxiliary system based on crowd sensing technology which can protect privacy information.In this paper,the proposed system leverages huge amounts of smartphone users as sensing nodes to positively collect traffic violation information including photos,time,location and so on.And then encrypts and uploads them to the cloud server,assisting related departments to query over the encrypted data to find and solve problems.Our system combines the advantages of order-preserving encryption and attribute-based encryption,innovatively achieves range query with access control on the premise of no leakage of the sensitive sensing data stored in the “honest but curious” cloud server.Firstly,we introduce the theoretical basis knowledge and system structure,and then describe the parts of our system in detail.Finally,we evaluate and verify the correctness and feasibility of the proposed system through effective experiments.