A Security Framework for IoT Authentication and Authorization Based on Blockchain Technology

Providing security and privacy to the Internet of Things (IoT) networks while achieving it with minimum performance requirements is an open research challenge. Blockchain technology, as a distributed and decentralized ledger, is a potential solution to tackle the limitations of the current peer-to-peer IoT networks. This paper presents the development of an integrated IoT system implementing the permissioned blockchain Hyperledger Fabric (HLF) to secure the edge computing devices by employing a local authentication process. In addition, the proposed model provides traceability for the data generated by the IoT devices. The presented solution also addresses the IoT systems’ scalability challenges, the processing power and storage issues of the IoT edge devices in the blockchain network. A set of built-in queries is leveraged by smart-contracts technology to define the rules and conditions. The paper validates the performance of the proposed model with practical implementation by measuring performance metrics such as transaction throughput and latency, resource consumption, and network use. The results show that the proposed platform with the HLF implementation is promising for the security of resource-constrained IoT devices and is scalable for deployment in various IoT scenarios.

Section: Hyperledger Fabric Iot System Modelmentioning

confidence: 99%

Hyperledger Fabric Blockchain for Securing the Edge Internet of Things

Pajooh

Rashid

Alam

et al. 2021

“…Unfortunately, the majority of the solutions proposed in the literature do not address the problems that are associated with the implementation of the blockchain technology in IoT systems, such as device authentication, low scalability, transaction delays, high computational resources for mining, and device heterogeneity. In our previous work [ 50 ], some of the challenges that are mentioned above are highlighted along with the discussion on the adoption of the blockchain technology in the IoT context. This article expands the implementation of the Lightweight Hyperledger Blockchain (LHB) technology and smart contracts to enhance the performance of the blockchain-IoT combination.…”

Section: Related Workmentioning

confidence: 99%

“…The proposed clustering algorithm was benchmarked against four following algorithms reported in the literature: ASLPR [ 60 ], ERA [ 65 ], FSFLA [ 64 ], and GAPSO [ 50 ].…”

Section: Framework Implementationmentioning

confidence: 99%

Multi-Layer Blockchain-Based Security Architecture for Internet of Things

Pajooh

Rashid

Alam

et al. 2021

The proliferation of smart devices in the Internet of Things (IoT) networks creates significant security challenges for the communications between such devices. Blockchain is a decentralized and distributed technology that can potentially tackle the security problems within the 5G-enabled IoT networks. This paper proposes a Multi layer Blockchain Security model to protect IoT networks while simplifying the implementation. The concept of clustering is utilized in order to facilitate the multi-layer architecture. The K-unknown clusters are defined within the IoT network by applying techniques that utillize a hybrid Evolutionary Computation Algorithm while using Simulated Annealing and Genetic Algorithms. The chosen cluster heads are responsible for local authentication and authorization. Local private blockchain implementation facilitates communications between the cluster heads and relevant base stations. Such a blockchain enhances credibility assurance and security while also providing a network authentication mechanism. The open-source Hyperledger Fabric Blockchain platform is deployed for the proposed model development. Base stations adopt a global blockchain approach to communicate with each other securely. The simulation results demonstrate that the proposed clustering algorithm performs well when compared to the earlier reported approaches. The proposed lightweight blockchain model is also shown to be better suited to balance network latency and throughput as compared to a traditional global blockchain.

“…Due to the decentralized nature of traditional blockchain technology, nodes are equal. Rashid et al [14] proposed a multi-layer secure network model of the IoT network based on blockchain technology. This model solves the problems related to the actual deployment of blockchain technology by dividing the IoT network into a multi-layer decentralized system.…”

Section: Related Workmentioning

confidence: 99%

A Security Transmission and Storage Solution about Sensing Image for Blockchain in the Internet of Things

et al. 2020

With the rapid development of the Internet of Things (IoT), the number of IoT devices has increased exponentially. Therefore, we have put forward higher security requirements for the management, transmission, and storage of massive IoT data. However, during the transmission process of IoT data, security issues, such as data theft and forgery, are prone to occur. In addition, most existing data storage solutions are centralized, i.e., data are stored and maintained by a centralized server. Once the server is maliciously attacked, the security of IoT data will be greatly threatened. In view of the above-mentioned security issues, a security transmission and storage solution is proposed about sensing image for blockchain in the IoT. Firstly, this solution intelligently senses user image information, and divides these sensed data into intelligent blocks. Secondly, different blocks of data are encrypted and transmitted securely through intelligent encryption algorithms. Finally, signature verification and storage are performed through an intelligent verification algorithm. Compared with the traditional IoT data transmission and centralized storage solution, our solution combines the IoT with the blockchain, making use of the advantages of blockchain decentralization, high reliability, and low cost to transfer and store users image information securely. Security analysis proves that the solution can resist theft attacks and ensure the security of user image information during transmission and storage.