IoT security is constrained by the need to manage and protect potentially billions of devices that are inexpensive, low-power, and often deployed in remote or extreme environments with intermittent connectivity. These conditions make authenticity, integrity, and identification difficult, while also raising the stakes: compromised IoT devices can cause physical, even life-threatening, harm when embedded in vehicles, industrial machinery, or medical systems. Current IoT ecosystems are additionally weakened by widespread neglect of basic security controls (e.g., default credentials, key duplication, weak access restriction) and by fragmented, multi-party environments such as freight logistics, where confidentiality and integrity become essential amid conflicting stakeholder goals.
Centralised control architectures struggle with availability and scalability due to single points of failure and the immense infrastructure and staffing required to manage millions of concurrent device connections. IoT also faces a lack of interoperable security standards and limited legislative clarity.
Blockchains are presented as a strong complement to IoT because their decentralised, peer-to-peer design and consensus mechanisms enable tamper-evident, independently verifiable records. Across the device lifecycle, blockchains can support provenance and ownership verification, service-history traceability, integrity checks, authorised firmware/configuration updates, secure data handling, and automated responses such as blacklisting devices that fail integrity validation. Device identity management (“Identity of Things”) is highlighted as especially suitable: device identification is more unidimensional than human IAM, and blockchain-based identity can reduce dependence on costly on-device trusted hardware by storing and verifying identity assertions on-chain.
However, adoption faces challenges, notably standardisation and interoperability, plus performance and energy drawbacks of proof-of-work. The recommended posture is to monitor consortium efforts, emphasise proofs-of-concept over bespoke investments until standards mature, and focus on scalable design principles rather than specific low-level blockchain implementations.
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