Research On Edge Intelligent Access Control System Based On BaaS

With the rapid development of IIoT,IIoT has the characteristics of large scale of equipment,wide geographical distribution,and heterogeneous equipment.Although IIoT can greatly improve the efficiency of industrial production and save time and cost,it also faces the problem of insufficient storage and computing capacity.In addition,many end devices are delay sensitive,so the request sent by the devices needs to get real-time network response.In addition,distributed edge networks may face many security problems,such as distributed denial of service attacks.Obviously,centralized cloud computing services have been unable to meet the exponential growth of industrial end devices’ real-time data analysis work,so it is considered to sink computing and storage resources to the edge of the network,let the edge server near the terminal to handle these tasks,so as to reduce the time delay of data in the process of network transmission,to achieve the purpose of real-time response.In addition,a secure access control system is introduced to manage industrial devices and real-time data acquisition,ensuring the safety of data transmission and storage.The main work of this thesis is as follows:(1)This thesis proposes an edge intelligent service access control system called EIS-AC.This access control system takes advantage of the programmability of smart contracts and the imtampability of authorized data,and uses blockchain as a service for the access control management of edge networks,providing services through interfaces.For the access control system,CPN is used to verify the behavior of the EIS-AC system,and the verification results show that the system performs well.(2)Based on the access control system,a service choreography model is proposed,aiming to find the service choreography plan with the highest QoS.For the service orchestration problem,this thesis selects four indicators(network availability,service reliability,cost and service response time)to measure service QoS.It is proved that the service choreography is an MMKP problem and that the problem is NP hard.In this thesis,two heuristic algorithms,incremental similarity matching service orchestration algorithm and greedy multiple matching service orchestration algorithm,are proposed to optimize service orchestration.Finally,as for the proposed service orchestration model,this thesis conducted experimental verification on the real industrial Internet of Things platform WISE-Paa S.Through the analysis of experimental data,the results show that the orchestrated service has lower delay and higher QoS value than the unorchestrated service.