Security and Challenges for Blockchain Integrated Fog-Enabled IoT Applications

Samanta, Saikat; Sarkar, Achyuth; Sharma, Aditi; Geman, Oana

doi:10.1007/978-981-19-1018-0_2

Cited by 11 publications

(1 citation statement)

References 21 publications

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“…By sending messages at the TLS record layer, they were able to effectively replicate the communication sessions. Samanta et al [42] used the UC framework for the protocols of RFID authentication, provided a unique, lightweight, and practical protocol with a pseudo-random bit generator for anonymous authentication, and achieved forward secure anonymity, authenticity, and availability in the UC model. For the 1-out-of-2 variation, Chowdhury et al [43] provided non-adaptive oblivious transfer procedures for UC.…”

Section: Ubiquitous Security Frameworkmentioning

confidence: 99%

Blockchain-Based Information Sharing Security for the Internet of Things

Aljumah

Ahanger

2023

Mathematics

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The Blockchain (BCT) is the first decentralized ledger to include a trust mechanism in its design. It establishes a trustworthy framework for distributed commands by using data redundancy at several nodes. Conspicuously, the current study presents a BCT-based lightweight IoT information exchange security architecture for data exchange. The proposed technique uses a dual chain methodology, namely transaction and data BCT working together to provide distributed storage and tamper-proofing of data. Moreover, Transaction BCT is enhanced by a consensus algorithm using a practical Byzantine fault-tolerant (PBFT) mechanism. The proposed algorithm can increase data registering efficiency, transactions, and privacy protection BCT. It is deduced that local dominance can be avoided using the dynamic game strategy of node cooperation. Furthermore, by reporting the node’s global reputation value, the status of the unknown node may be approximated. The high-trust measure is utilized to adjust the weight of the affected node in the combined node-set, leading to the Bayesian equilibrium. The proposed model is validated in several experimental simulations and results are compared with state-of-the-art techniques. Based on the results, enhanced performance is registered for the proposed techniques in terms of temporal delay, statistical efficiency, reliability, and stability.

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Section: Ubiquitous Security Frameworkmentioning

confidence: 99%

Blockchain-Based Information Sharing Security for the Internet of Things

Aljumah

Ahanger

2023

Mathematics

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User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things

Dhasarathan

Hasan

Islam

et al. 2023

CAAI Trans on Intel Tech

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This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise personal data prevention. The Internet of Medical Things (IoMT) has advanced in healthcare with the rapid establishment of decentralised communication systems. Distributed ledgers have resource constraints to leverage public, private, and hybrid blockchain transactions to facilitate heterogeneous operations. The authors propose a supervised learning strategy in healthcare to mitigate learning health‐related issues, improvise clinical monitoring, and ensure secure communication. The proposed approach handles the vast IoMT data by adopting blockchain for IoMT as (BIoMT) to preserve sensitive clinical information. It incorporates hybrid encryption techniques to improve patient and health records' privacy protection. BIoMT also maintains secured and sustainable supply chain management with a highly confidential decentralised framework using blockchain‐based smart contracts, which minimises data loss. Moreover, a framework is designed with a hybrid hashing that integrates a homomorphically encrypted algorithm to support a smart contract for decentralised applicability. The BIoMT approach is tested and compared with the relevant prevention mechanisms. The evaluation shows that the effects observed from the result analysis noted that the proposed method outperforms reliable prevention mechanisms compared to the existing approaches.

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