Secured Data Transmission for Smart Grid System using Blockchain Technology with a Trusted Gaming Token Honeypot Algorithm

Authors

  • Deeptha R. Assistant Professor, Department of Information Technology,SRM Institute of Science and Technology, Ramapuram.
  • Rajeswari Mukesh Professor and Head, Department of Information Technology, SRM Institute of Science and Technology, Ramapuram
  • S. E. Jayanthi Assistant Professor, Department of Mathematics,SRM Institute of Science and Technology, Ramapuram.

Keywords:

hybrid tracking, visibility model, spatial tracking, tangential weighed, second derivative

Abstract

The use of blockchain technology has made it possible for safe smart trade in numerous fields, including the exchange of nearby resources. Threats to the confidentiality of data recorded on the blockchain might be expected from malicious users. To combat privacy leaks in the smart grid without limiting trade capabilities, this article proposes a blockchain-based smart contract solution. Since different energy trading volumes may be mined to determine its correlations with other information like physical location and energy consumption, the proposed method primarily addresses the privacy of energy trading users in the smart grid and filters the distribution of energy sale of sellers. Finally, the keys for the encrypted data transfer were generated using the Conviction Diffie Hellman Algorithm (CDHA). Finally, the Trusted Gaming Token Honeypot Algorithm (TGTHA) was proposed to identify the untrusted user. All of the experiments were performed inside MATLAB. The efficiency of the suggested method has been experimentally verified.

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References

J. Wu and N. K. Tran, Application of blockchain technology in sustainable energy systems: An overview,Sustainability. 10(3) (2018)3067.

N. Wang, X. Zhou, X. Lu, Z. Guan, L. Wu and X. Du, When energy trading meets blockchain in electrical power system: The state of the art, Applied Sciences. 9(3) (2019)1561.

A. S. Musleh, G. Yao, and S. Muyeen, Blockchain applications in smart grid–review and frameworks, Ieee Access, 7(1) (2019)86746-86757.

M. Andoni, V. Robu, D. Flynn, S. Abram, D. Geach and D. Jenkins, Blockchain technology in the energy sector: A systematic review of challenges and opportunities, Renewable and Sustainable Energy Reviews, 100(4) (2019)143-174.

A. Aderibole, A. Aljarwan, M. H. U. Rehman, H. H. Zeineldin, T. Mezher and K. Salah, , Blockchain technology for smart grids: Decentralized NIST conceptual model, IEEE Access. 8(3) (2020)43177-43190.

W. Wang, H. Huang, L. Zhang, and C. Su, "Secure and efficient mutual authentication protocol for smart grid under blockchain, Peer-to-Peer Networking and Applications. 14 (9) (2021)2681-2693.

C. Alcaraz, J. E. Rubio, and J. Lopez, Blockchain-assisted access for federated smart grid domains: Coupling and features, Journal of Parallel and Distributed Computing. 144 (4) (2020)124-135.

S. Tanwar, S. Kaneriya, N. Kumar, and S. Zeadally, ElectroBlocks: A blockchain based energy trading scheme for smart grid systems, International Journal of Communication Systems. 33(3) (2020)45-47.

A. Miglani, N. Kumar, V. Chamola, and S. Zeadally, Blockchain for Internet of Energy management: Review, solutions, and challenges, Computer Communications, 151(9) (2020pp. 395-418, 2020.

M. A. Uddin, A. Stranieri, I. Gondal, and V. Balasubramanian, Rapid health data repository allocation using predictive machine learning," Health Informatics Journal, vol. 26, pp. 3009-3036, 2020.

R. Shivhare, R. Shrivastava, and C. Gupta, An Enhanced Image Encryption Technique using DES Algorithm with Random Image overlapping and Random key Generation, in International Conference on Advanced Computation and Telecommunication (ICACAT). 8(3) (2018)1-9.

V. Rao, N. Sandeep, A. R. Rao, and N. Niharika, FPGA Implementation of Digital Data using RSA Algorithm, Journal of Innovation in Electronics and Communication Engineering. 9(3) (2019)34-37.

X. Dong, D. A. Randolph, and S. K. Rajanna, Enabling privacy preserving record linkage systems using asymmetric key cryptography, in AMIA Annual Symposium Proceedings. 3(8) (2019)380.

R. Chen, F. Bao, M. Chang and P. Cho, Systems, Dynamic trust management for delay tolerant networks and its application to secure routing, IEEE. 25(7) (2013)1200-1210.

R. H. Jhaveri, N. M. Patel, D. C. Jinwala, J. Ortiz, and A. de la Cruz, A composite trust model for secure routing in mobile ad-hoc networks, in Ad Hoc Networks. 4(8) (2017)19-45.

J.L. Tsai and N.W. Lo, Secure anonymous key distribution scheme for smart grid, IEEE transactions on smart grid. 7(1) (2015)906-914.

V. Odelu, A. K. Das, M. Wazid, and M. Conti, Provably secure authenticated key agreement scheme for smart grid, IEEE Transactions on Smart Grid. 9(3) (2016) 1900-1910.

D. He, H. Wang, M. K. Khan and L. Wang, Lightweight anonymous key distribution scheme for smart grid using elliptic curve cryptography, IET Communications. 10(2) (2016)1795-1802.

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Published

16.04.2023

How to Cite

Deeptha R., Rajeswari Mukesh, & S. E. Jayanthi. (2023). Secured Data Transmission for Smart Grid System using Blockchain Technology with a Trusted Gaming Token Honeypot Algorithm . International Journal of Intelligent Systems and Applications in Engineering, 11(5s), 527–538. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2814

Issue

Vol. 11 No. 5s (2023): Special Issue on Applications of Advanced Engineering Technologies

Section

Research Article

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