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Validation Of Blockchain Transactions In Wireless Sensor Networks Using Dense Neural Networks


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1 College of Computer Science and Information Science, Srinivas University, India
     

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The emergence of Blockchain is seen as a viable technology for enabling the improved Internet services. To authenticate information via transactions without the involvement of a third party, this decentralised, secure, and auditable approach is used. Blockchain technology is now being used in conjunction with Wireless Sensor networks (WSNs) to help bring about the fourth industrial revolution. In this paper, we analyse the difficulties in transaction throughput enhancement and block time reduction that arise in block chain enabled WSN networks. The study uses Dense Neural Networks to reduce the transmission delays. The simulations are conducted to test the viability of transactions and optimal distribution of transaction in WSN. Thus, Dense Nets enables optimal transactions of data from source to destination node via blocks.

Keywords

Blockchain Transactions, Validation, Dense Neural Networks, Internet of Things
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  • D. Puthal, N. Malik, S.P. Mohanty and G. Kougianos, “Everything You Wanted to Know about the Blockchain: Its Promise, Components, Processes, and Problems”, IEEE Consumer Electronics Magazine, Vol. 7, No. 4, pp. 6-14, 2018.

  • S. Angraal, H.M. Krumholz and W.L. Schulz, “Blockchain Technology: Applications in Health Care”, Circulation: Cardiovascular Quality and Outcomes, Vol. 10, No. 9, pp. 1-15, 2017.

  • B. Gobinathan, M.A. Mukunthan, S. Surendran, and V.P. Sundramurthy, “A Novel Method to Solve Real Time Security Issues in Software Industry using Advanced Cryptographic Techniques”, Scientific Programming, Vol. 2021, pp. 1-7, 2021.

  • A.S. Hosen, S. Singh, P.K. Sharma and G.H. Cho, “Blockchain-Based Transaction Validation Protocol for a Secure Distributed IoT Network”, IEEE Access, Vol. 8, pp. 117266-117277, 2020.

  • D. Puthal, N. Malik, S.P. Mohanty and G. Das, “Everything You Wanted to Know About the Blockchain: Its Promise, Components, Processes, and Problems”, IEEE Consumer Electronics Magazine, Vol. 7, No. 4, pp. 6-14, 2018.

  • R. Chaudhary, A. Jindal, G.S. Aujla and K.K.R. Choo, “Best: Blockchain-Based Secure Energy Trading in SDNEnabled Intelligent Transportation System”, Computers and Security, Vol. 85, pp. 288-299, 2019.

  • N. Arivazhagan, K. Somasundaram, D. Vijendra Babu and V. Prabhu Sundramurthy, “Cloud-Internet of Health Things (IOHT) Task Scheduling using Hybrid Moth Flame Optimization with Deep Neural Network Algorithm for E Healthcare Systems”, Scientific Programming, Vol. 2022, pp. 1-8, 2022.

  • I.A. Omar, R. Jayaraman, K. Salah and S. Ellahham, “Applications of Blockchain Technology in Clinical Trials: Review and Open Challenges”, Arabian Journal for Science and Engineering, Vol. 46, No. 4, pp. 3001-3015, 2021.

  • T.K. Agrawal, V. Kumar and Y. Chen, “Blockchain-Based Framework for Supply Chain Traceability: A Case Example of Textile and Clothing Industry”, Computers and Industrial Engineering, Vol. 154, pp. 1-12, 2021.

  • I. Karamitsos, M. Papadaki and N.B. Al Barghuthi, “Design of the Blockchain Smart Contract: A Use Case for Real Estate”, Journal of Information Security, Vol. 9, No. 3, pp. 177-187, 2018.

  • H. Rathore, A. Mohamed and M. Guizani, “A Survey of Blockchain Enabled Cyber-Physical Systems”, Sensors, Vol. 20, No. 1, pp. 282-291, 2020.

  • J. Li, “Data Transmission Scheme Considering Block Failure for Blockchain”, Wireless Personal Communications, Vol. 103, No. 1, pp. 179-194, 2018.

  • S.R. Maskey, S. Badsha, S. Sengupta and I. Khalil, “ALICIA: Applied Intelligence in Blockchain based VANET: Accident Validation as a Case Study”, Information Processing and Management, Vol. 58, No. 3, pp. 1-12, 2021.

  • B.A. Scriber, “A Framework for Determining Blockchain Applicability”, IEEE Software, Vol. 35, No. 4, pp. 70-77, 2018.

  • Q. Wang, Z. Jia and Z. Shao, “A Highly Parallelized PimBased Accelerator for Transaction-Based Blockchain in IoT Environment”, IEEE Internet of Things Journal, Vol. 7, No. 5, pp. 4072-4083, 2019.

  • S.M.H. Bamakan, A. Motavali and A.B. Bondarti, “A Survey of Blockchain Consensus Algorithms Performance Evaluation Criteria”, Expert Systems with Applications, Vol. 154, pp. 1-19, 2020.

  • Y.T. Yang, L.D. Chou and C.C. Liu, “Blockchain-Based Traffic Event Validation and Trust Verification for VANETs”, IEEE Access, Vol. 7, pp. 30868-30877, 2019.


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  • Validation Of Blockchain Transactions In Wireless Sensor Networks Using Dense Neural Networks

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Authors

S. Brilly Sangeetha
College of Computer Science and Information Science, Srinivas University, India
K. Krishna Prasad
College of Computer Science and Information Science, Srinivas University, India

Abstract


The emergence of Blockchain is seen as a viable technology for enabling the improved Internet services. To authenticate information via transactions without the involvement of a third party, this decentralised, secure, and auditable approach is used. Blockchain technology is now being used in conjunction with Wireless Sensor networks (WSNs) to help bring about the fourth industrial revolution. In this paper, we analyse the difficulties in transaction throughput enhancement and block time reduction that arise in block chain enabled WSN networks. The study uses Dense Neural Networks to reduce the transmission delays. The simulations are conducted to test the viability of transactions and optimal distribution of transaction in WSN. Thus, Dense Nets enables optimal transactions of data from source to destination node via blocks.

Keywords


Blockchain Transactions, Validation, Dense Neural Networks, Internet of Things

References