Towards Blockchain for Suitable Efficiency and Data Integrity of IoT Ecosystem Transactions

Abstract : This article analyzes the effectiveness of deploying the Blockchain technology in the implementation of the IoT ecosystem database. To this end, we assess the processing efficiency of transactions originated by smart devices and the storeddata integrity. The processing-efficiency evaluation is carried out through queue-theory-based analytical modeling, in which the average time for transaction confirmation is estimated. By its turn, the data-integrity is measured through simulations, where the probability of fraudsters altering already-stored data is estimated. Moreover, the experiments consider a set of scenarios related to different application domains. Final results show that the Blockchain technology may meet IoT efficiency requirements, besides providing adequate data integrity. Lastly, general conclusions and avenues for further research close this article.

 EXISTING SYSTEM :

 ? Existing security solutions are not well suited because current IoT devices may consume significant amounts of energy and may have significant processing overhead. ? The propositions that we derive in this paper extend existing academic literature by providing a structured foundation for systematic research that investigates the combined impact of IoT and Blockchain technology on modern supply chains. ? In this paper, we conducted a narrative literature review with the goals of summarizing the existing body of literature, identifying essential research gaps and developing novel research propositions. ? In order to foster incremental research, we especially encourage researchers to carefully investigate the applicability of existing theories to better understand emerging phenomena at the confluence of Blockchain, the IoT, and supply chain management.

 DISADVANTAGE :

 ? Several issues regarding IoT security need to be addressed, including IoT device trust, access control, data integrity, physical tampering, and user privacy. ? Moreover, problems such as counterfeiting, physical tampering, hacking, and data theft might raise trust concerns among supply chain exchange partners. ? When combined‚ these enabling technologies will help firms to overcome problems related to data acquisition and integrity, address security challenges‚ mitigate traceability concerns, and reduce information asymmetry. ? RFID tags help to overcome the (occasional) problematic readability of barcodes in specific industrial environments and result in a higher read accuracy.

 PROPOSED SYSTEM :

 • A decentralized computation offloading platform was proposed to coordinate tasks among devices and edge servers. • To assist MEC based offloading for inter-domain traffic, they proposed a blockchain-enabled market to motivate both D2D and MEC nodes. • They proposed an energy-efficient IoT task offloading algorithm for blockchain-enabled edge computing. • The participating nodes were authenticated by the smart contract in the proposed FL framework. • An incentive mechanism was proposed for discharging electrical vehicles to boost the electric power grid.

 ADVANTAGE :

 ? They pointed out that machine learning (ML) algorithms, such as Q-learning, can improve the performance of the network, in terms of block time minimization and transaction throughput enhancement. ? The transparency, auditability, and distributed properties of blockchains were considered to address issues, such as security, resources management, and energy efficiency. ? Efficient control and incentive of cooperation among edge devices and servers are securely enabled by blockchain. ? MEC improves the scalability of blockchain in a distributed and efficient manner by delivering computing and cache resources to the blockchain enabled IoT systems. ? In the Bitcoin system, which is the most well-known application of public blockchain, proof-of-work (PoW) is used to reach this consensus.