Abstract
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.
Highlights
Internet of Things (IoT) [1] technologies are associated with the significant growth of generated, collected and used data
The network model proposed in this work is based on blockchain technology as an individual application integrated with edge computing to provide security, identity management, and authentication
This study builds on the model introduced in our previous work [78] using a multi-layer platform approach and the Lightweight Hyperledger Blockchain technology along with smart contracts to enhance the performance of the blockchain-IoT combination
Summary
Internet of Things (IoT) [1] technologies are associated with the significant growth of generated, collected and used data. With the rapid involvement of distributed heterogeneous devices, various aspects of traditional IoT applications and platforms face challenges in security, privacy, data integrity, and robustness [2]. Most IoT platforms and applications depend on centralized architecture by connecting to cloud servers via gateways. This leads to severe security and privacy risks. Wireless communication between sensor nodes and IoT gateways might be very susceptible to attack. Cloud servers are potential targets for Distributed Denial-of-Service (DDoS) attacks resulting in significant infrastructure collapse [3]. The centralized server solution introduces a single point of failure risk to the entire system
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