IoT based Smart Access Controlled Secure Smart City Architecture Using Blockchain
Rourab Paul, Nimisha Ghosh, Suman Sau, Amlan Chakrabarti, Prasant, Mahapatra

TL;DR
This paper presents a machine learning-enhanced blockchain-based security framework for IoT in smart cities, aiming to improve access control efficiency while maintaining cryptographic security with minimal overhead.
Contribution
It introduces a novel ML-based access control framework utilizing blockchain for resource-constrained IoT devices in smart city applications, addressing security and efficiency issues.
Findings
Reduced energy consumption compared to traditional blockchain IoT solutions
Effective detection of access control inconsistencies and threats
Enhanced security with minimal overhead on IoT devices
Abstract
Standard security protocols like SSL, TLS, IPSec etc. have high memory and processor consumption which makes all these security protocols unsuitable for resource constrained platforms such as Internet of Things (IoT). Blockchain (BC) finds its efficient application in IoT platform to preserve the five basic cryptographic primitives, such as confidentiality, authenticity, integrity, availability and non-repudiation. Conventional adoption of BC in IoT platform causes high energy consumption, delay and computational overhead which are not appropriate for various resource constrained IoT devices. This work proposes a machine learning (ML) based smart access control framework in a public and a private BC for a smart city application which makes it more efficient as compared to the existing IoT applications. The proposed IoT based smart city architecture adopts BC technology for preserving…
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Taxonomy
TopicsBlockchain Technology Applications and Security · IoT and Edge/Fog Computing · Internet of Things and AI
