Blockchain-based Edge Computing Data Storage Protocol Under Simplified Group Signature

Abstract : In contrast to the traditional cloud-based IoT structure, which imposes high computation and storage demands on the central cloud server, edge computing can process data at the network edge. In this paper, we present an edge computing data storage protocol employing the blockchain and the group signature, where the blockchain works as the trusted third party, offering a convenient platform for the data storage and protection, and the group signature is utilized for privacy identity information protection. Unlike the common group signature scheme, we propose a notion of \emph{simplified group signature}, which removes the traceable property to improve the computational efficiency. In edge computing, the edge devices and the end devices can easily set up a long-term trust relationship through the cloud services, so the traceability may be of little utility in this scenario. In our protocol, we also design a new data validation scheme that has a proof size of only O(1) .

 EXISTING SYSTEM :

 ? In the existing cloud-based IoT networks, the IoT devices have the limited resource and lower computation . ? The edge computing is proposed to improve the performance of the existing centralized cloud computing. ? Compared with the existing centralized cloud computing, the distributed blockchain cloud has the following advantages: higher reliability, higher availability of services, higher fault tolerance and lower cost. ? It selected the approval node among all existing nodes and was responsible for verifying the transaction based on the utility function. ? However, the existing consensus mechanisms require verification of most participating nodes to complete mining, which will generate serious network latency.

 DISADVANTAGE :

 ? It was initially introduced to solve double spending problems in Bitcoin but it has extended with time in deploying other applications such as smart grid, healthcare, delivery networks and logistics systems. ? It is imperative therefore that crucial issues of security, scalability and resources management be addressed to achieve successful integration. ? We investigated existing blockchain and associated technologies to discover solutions that address anonymity, integrity and adaptability issues for successful integration of blockchain in IoT systems. ? We propose a novel framework to solve the identified issues of anonymity, integrity and adaptability in order to achieve successful integration of blockchain and edge computing for IoT systems.

 PROPOSED SYSTEM :

 • In this paper, the architecture and behavior of an Access Management System (AMS) in a proof of concept (PoC) prototype are proposed with a Color Petri Net (CPN) model. • It is proposed to write the basic elements of RBAC into the blockchain smart contract to realize the schema of blockchain-enabled AMS for edge computing. • SDIoTEdge (Software-Defined Internet of Things orchestration using Edge) is proposed to solve the challenge of complex IoT management. • Based on this, the AMS model of blockchain enabled edge computing is proposed and verified by CPN tools.

 ADVANTAGE :

 ? Most computation and storage tasks will thus be offloaded to the near-end to attain better performance and more storage. ? The edge layer extends the cloud to bring services closer to end devices for improved performance and low latency. ? The target is to improve performance using a protocol that allows connections of new side chains to the main chain with back-and-forth transfers of transactions between the main chain and different other side chains. ? To meet the security and performance requirements of our model, we investigated the suitable existing technologies to address issues of integrity, adaptability and anonymity that are crucial for integration of blockchain and edge computing.