Research On Security Delivery Model Of Mobile Crowdsensing Based On Tangle Network

Data is critical to the IoT ecosystem,and its data can serve many different types of applications and stakeholders,such as smart homes,smart cities,smart grids,government organizations,developers and related residents.However,these IoT devices are usually limited by resources and require effective mechanisms to properly process data to ensure data integrity and security.At this time,with the development of efficient and highperformance networks,as a new perception mode called Mobile CrowdSensing(MCS)came into being.A large number of sensing devices have been integrated into smart phones and in-vehicle systems,which can acquire local geospatial information and knowledge,and share knowledge with other users,but currently almost all sensor systems upload data to the central cloud and share sensor data with different stakeholders.In this case,both the participant holding the mobile device and the final data consumer must trust the third-party service provider and also pay a fee for their service.In addition,an protocol(agreement)needs to be established between the third-party service provider and the user,which will take a lot of time.Therefore,the centralized architecture model in current IoT systems will be difficult to scale to meet the needs of future IoT systems.In order to solve these problems,this paper proposes a distributed perception architecture scheme based on the Tangle network,and combines a common-prefixlinkable anonymity scheme to ensure the privacy of users.The main contributions of this article are as follows:(1)Aiming at the problems of high concurrency and high load of data transactions in the MCS scenario,and the inadequate use of the traditional chain blockchain in the bandwidth of the MCS system.A distributed MCS model based on the directed acyclic graph tangle structure is designed to solve the conflict between high concurrency and low throughput.(2)Considering the waste of computing power caused by the mining mechanism in the traditional chain blockchain,we designed to replace the "Proof of Work(POW)" mechanism in the chain blockchain with the perceptual data quality index.Which solved the problem of manual renewal caused by mining in the traditional chain blockchain,greatly reduced the task release cost of MCS,and improved the scalability of the system.(3)Aiming at the threat of privacy leaks in the MCS,a linkable anonymous authentication scheme based on a common prefix is designed to enable users to verify data without linking.Using its special linking mechanism,it solves data transparency and data confidentiality in a distributed environment,and the tension between anonymity and accountability.