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Blockchain technology research and application: a systematic literature review and future trends (2306.14802v2)

Published 26 Jun 2023 in cs.CR and cs.DC

Abstract: Blockchain, as the basis for cryptocurrencies, has received extensive attentions recently. Blockchain serves as an immutable distributed ledger technology which allows transactions to be carried out credibly in a decentralized environment. Blockchain-based applications are springing up, covering numerous fields including financial services, reputation system and Internet of Things (IoT), and so on. However, there are still many challenges of blockchain technology such as scalability, security and other issues waiting to be overcome. This article provides a comprehensive overview of blockchain technology and its applications. We begin with a summary of the development of blockchain, and then give an overview of the blockchain architecture and a systematic review of the research and application of blockchain technology in different fields from the perspective of academic research and industry technology. Furthermore, technical challenges and recent developments are also briefly listed. We also looked at the possible future trends of blockchain.

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References (112)
  1. L. D. Xu, W. He, and S. Li, “Internet of things in industries: A survey,” IEEE Trans Ind Inform, vol. 10, no. 4, pp. 2233–2243, 2014, doi: 10.1109/TII.2014.2300753.
  2. Z. Zhou, B. Wang, Y. Guo, and Y. Zhang, “Blockchain and computational intelligence inspired incentive-compatible demand response in internet of electric vehicles,” IEEE Trans Emerg Top Comput Intell, vol. 3, no. 3, pp. 205–216, 2019, doi: 10.1109/TETCI.2018.2880693.
  3. H. Liu, Y. Zhang, and T. Yang, “Blockchain-enabled security in electric vehicles cloud and edge computing,” IEEE Netw, vol. 32, no. 3, pp. 78–83, 2018, doi: 10.1109/MNET.2018.1700344.
  4. J. Kang, R. Yu, X. Huang, S. Maharjan, Y. Zhang, and E. Hossain, “Enabling localized peer-to-peer electricity trading among plug-in hybrid electric vehicles using consortium blockchains,” IEEE Trans Ind Inform., vol. 13, no. 6, pp. 3154–3164, 2017, doi: 10.1109/TII.2017.2709784.
  5. J. Wang, R. Zhu, T. Li, F. Gao, Q. Wang, and Q. Xiao, “ETC-Oriented efficient and secure blockchain: Credit-based mechanism and evidence framework for vehicle management,” IEEE Trans Veh Technol, vol. 70, no. 11, pp. 11324–11337, 2021, doi: 10.1109/TVT.2021.3116237.
  6. E. A. Soto, L. B. Bosman, E. Wollega, and W. D. Leon-Salas, “Peer-to-peer energy trading: A review of the literature,” Appl. Energy, vol. 283, p. 116268, Feb. 2021, doi: 10.1016/j.apenergy.2020.116268.
  7. “Blockchain 2022 Legislation.” https://www.ncsl.org/financial-services/blockchain-2022-legislation (accessed Jun. 23, 2023).
  8. T. text provides general information S. assumes no liability for the information given being complete or correct D. to varying update cycles and S. C. D. M. up-to-D. D. T. R. in the Text, “Blockchain - statistics & facts,” Statista. https://www.statista.com/topics/5122/blockchain/ (accessed Jun. 23, 2023).
  9. S. Nakamoto, “Bitcoin: A peer-to-peer electronic cash system,” Decentralized Bus. Rev., p. 21260, 2008.
  10. J. Dhobale and V. Mishra, “Blockchain theories and its applications,” in Bitcoin and blockchain, CRC Press, 2020, pp. 183–192.
  11. X. Yang, Y. Chen, and X. Chen, “Effective scheme against 51% attack on proof-of-work blockchain with history weighted information,” in IEEE international conference on blockchain, blockchain 2019, atlanta, GA, USA, july 14-17, 2019, IEEE, 2019, pp. 261–265. doi: 10.1109/Blockchain.2019.00041.
  12. J. Bae and H. Lim, “Random mining group selection to prevent 51% attacks on bitcoin,” in 48th annual IEEE/IFIP international conference on dependable systems and networks workshops, DSN workshops 2018, luxembourg, june 25-28, 2018, IEEE Computer Society, 2018, pp. 81–82. doi: 10.1109/DSN-W.2018.00040.
  13. A. Dorri and R. Jurdak, “Tree-chain: A lightweight consensus algorithm for IoT-based blockchains,” in IEEE international conference on blockchain and cryptocurrency, ICBC 2021, sydney, australia, may 3-6, 2021, IEEE, 2021, pp. 1–9. doi: 10.1109/ICBC51069.2021.9461098.
  14. A. Kumar, A. Sangoi, S. Raj, and K. M, “ShardCons - A sharding based consensus algorithm for blockchain,” in 2021 IEEE international conference on electronics, computing and communication technologies (CONECCT), 2021, pp. 1–6. doi: 10.1109/CONECCT52877.2021.9622529.
  15. S. Malik, V. Dedeoglu, S. S. Kanhere, and R. Jurdak, “TrustChain: Trust management in blockchain and IoT supported supply chains,” in IEEE international conference on blockchain, blockchain 2019, atlanta, GA, USA, july 14-17, 2019, IEEE, 2019, pp. 184–193. doi: 10.1109/Blockchain.2019.00032.
  16. P. Frauenthaler, M. Sigwart, C. Spanring, M. Sober, and S. Schulte, “ETH relay: A cost-efficient relay for ethereum-based blockchains,” in IEEE international conference on blockchain, blockchain 2020, rhodes, greece, november 2-6, 2020, IEEE, 2020, pp. 204–213. doi: 10.1109/Blockchain50366.2020.00032.
  17. S. Yang, Z. Chen, L. Cui, M. Xu, Z. Ming, and K. Xu, “CoDAG: An efficient and compacted DAG-Based blockchain protocol,” in IEEE international conference on blockchain, blockchain 2019, atlanta, GA, USA, july 14-17, 2019, IEEE, 2019, pp. 314–318. doi: 10.1109/Blockchain.2019.00049.
  18. K. Wang and H. S. Kim, “FastChain: Scaling blockchain system with informed neighbor selection,” in IEEE international conference on blockchain, blockchain 2019, atlanta, GA, USA, july 14-17, 2019, IEEE, 2019, pp. 376–383. doi: 10.1109/Blockchain.2019.00058.
  19. J. Feng, F. R. Yu, Q. Pei, J. Du, and L. Zhu, “Joint optimization of radio and computational resources allocation in blockchain-enabled mobile edge computing systems,” IEEE Trans Wirel Commun, vol. 19, no. 6, pp. 4321–4334, 2020, doi: 10.1109/TWC.2020.2982627.
  20. A. V. Rivera, A. Refaey, and E. Hossain, “Blockchain-based collaborative task offloading in MEC: A hyperledger fabric framework,” in IEEE international conference on communications workshops, ICC workshops 2021, montreal, QC, canada, june 14-23, 2021, IEEE, 2021, pp. 1–6. doi: 10.1109/ICCWorkshops50388.2021.9473763.
  21. R. L. Rivest, A. Shamir, and Y. Tauman, “How to leak a secret,” in Advances in cryptology - ASIACRYPT 2001, 7th international conference on the theory and application of cryptology and information security, gold coast, australia, december 9-13, 2001, proceedings, C. Boyd, Ed., in Lecture notes in computer science, vol. 2248. Springer, 2001, pp. 552–565. doi: 10.1007/3-540-45682-1_32.
  22. Y. Yuan and F. Wang, “Development status and prospect of blockchain technology,” Acta Autom. Sin., vol. 42, no. 4, pp. 481–494, 2016.
  23. Shao Qifeng; Zhang Zhao; Zhu Yanchao; Zhou Aoying;, “Overview of Enterprise Blockchain Technology,” J. Softw., no. 09 vo 30, pp. 2571–2592, 2019, doi: 10.13328/j.cnki.jos.005775.
  24. D. Johnson, A. Menezes, and S. A. Vanstone, “The elliptic curve digital signature algorithm (ECDSA),” Int. J. Inf. Sec., vol. 1, no. 1, pp. 36–63, 2001, doi: 10.1007/s102070100002.
  25. S. Popov, “The tangle,” White Pap., vol. 1, no. 3, p. 30, 2018.
  26. A. Churyumov, “Byteball: A decentralized system for storage and transfer of value,” URL Httpsbyteball OrgByteball Pdf, p. 11, 2016.
  27. M. Niranjanamurthy, B. N. Nithya, and S. Jagannatha, “Analysis of Blockchain technology: pros, cons and SWOT,” Clust. Comput., vol. 22, no. 6, pp. 14743–14757, 2019, doi: 10.1007/s10586-018-2387-5.
  28. S. Seibold and G. Samman, “Consensus: Immutable agreement for the Internet of value,” KPMG¡ Httpsassets Kpmg Comcontentdamkpmgpdf201606kpmgblockchain-Consens.-Mech. Pdf, 2016.
  29. Y. Xiao, N. Zhang, W. Lou, and Y. T. Hou, “A survey of distributed consensus protocols for blockchain networks,” IEEE Commun Surv Tutor., vol. 22, no. 2, pp. 1432–1465, 2020, doi: 10.1109/COMST.2020.2969706.
  30. S. N. Khan, F. Loukil, C. G. Guegan, E. Benkhelifa, and A. Bani-Hani, “Blockchain smart contracts: Applications, challenges, and future trends,” Peer–Peer Netw Appl, vol. 14, no. 5, pp. 2901–2925, 2021, doi: 10.1007/s12083-021-01127-0.
  31. N. Szabo, “Smart contracts: building blocks for digital markets,” EXTROPY J. Transhumanist Thought16, vol. 18, no. 2, p. 28, 1996.
  32. H. Huang, K.-C. Li, and X. Chen, “Blockchain-based fair three-party contract signing protocol for fog computing,” Concurr. Comput. Pract. Exp., vol. 31, no. 22, 2019, doi: 10.1002/cpe.4469.
  33. J. A. Garay, A. Kiayias, and N. Leonardos, “The bitcoin backbone protocol: Analysis and applications,” in Advances in cryptology - EUROCRYPT 2015 - 34th annual international conference on the theory and applications of cryptographic techniques, sofia, bulgaria, april 26-30, 2015, proceedings, part II, E. Oswald and M. Fischlin, Eds., in Lecture notes in computer science, vol. 9057. Springer, 2015, pp. 281–310. doi: 10.1007/978-3-662-46803-6_10.
  34. M. A. Manolache, S. Manolache, and N. Tapus, “Decision making using the blockchain proof of authority consensus,” in Proceedings of the 8th international conference on information technology and quantitative management, ITQM 2020 & 2021, developing global digital economy after COVID-19, july 9-11, 2021, chengdu, china, Y. Liu, Y. Shi, Y. Wang, D. Ergu, D. Berg, J. M. Tien, J. Li, and Y. Tian, Eds., in Procedia computer science, vol. 199. Elsevier, 2021, pp. 580–588. doi: 10.1016/j.procs.2022.01.071.
  35. S. King and S. Nadal, “Ppcoin: Peer-to-peer crypto-currency with proof-of-stake,” Self-Publ. Pap. August, vol. 19, no. 1, 2012.
  36. A. P. Kalapaaking, I. Khalil, M. S. Rahman, M. Atiquzzaman, X. Yi, and M. Almashor, “Blockchain-Based Federated Learning With Secure Aggregation in Trusted Execution Environment for Internet-of-Things,” IEEE Trans. Ind. Inform., vol. 19, no. 2, pp. 1703–1714, Feb. 2023, doi: 10.1109/TII.2022.3170348.
  37. C. Xu, Y. Qu, P. W. Eklund, Y. Xiang, and L. Gao, “BAFL: An efficient blockchain-based asynchronous federated learning framework,” in IEEE symposium on computers and communications, ISCC 2021, athens, greece, september 5-8, 2021, IEEE, 2021, pp. 1–6. doi: 10.1109/ISCC53001.2021.9631405.
  38. H. Jin, X. Dai, J. Xiao, B. Li, H. Li, and Y. Zhang, “Cross-cluster federated learning and blockchain for internet of medical things,” IEEE Internet Things J, vol. 8, no. 21, pp. 15776–15784, 2021, doi: 10.1109/JIOT.2021.3081578.
  39. M. Liu, F. R. Yu, Y. Teng, V. C. M. Leung, and M. Song, “Performance Optimization for Blockchain-Enabled Industrial Internet of Things (IIoT) Systems: A Deep Reinforcement Learning Approach,” IEEE Trans. Ind. Inform., vol. 15, no. 6, pp. 3559–3570, Jun. 2019, doi: 10.1109/TII.2019.2897805.
  40. M. Liu, Y. Teng, F. R. Yu, V. C. M. Leung, and M. Song, “Deep Reinforcement Learning Based Performance Optimization in Blockchain-Enabled Internet of Vehicle,” in ICC 2019 - 2019 IEEE International Conference on Communications (ICC), Shanghai, China: IEEE, May 2019, pp. 1–6. doi: 10.1109/ICC.2019.8761206.
  41. F. Tschorsch and B. Scheuermann, “Bitcoin and beyond: A technical survey on decentralized digital currencies,” IEEE Commun Surv Tutor., vol. 18, no. 3, pp. 2084–2123, 2016, doi: 10.1109/COMST.2016.2535718.
  42. D. Ongaro and J. K. Ousterhout, “In search of an understandable consensus algorithm,” in 2014 USENIX annual technical conference, USENIX ATC ’14, philadelphia, PA, USA, june 19-20, 2014, G. Gibson and N. Zeldovich, Eds., USENIX Association, 2014, pp. 305–319. [Online]. Available: https://www.usenix.org/conference/atc14/technical-sessions/presentation/ongaro
  43. H. T. ZENG Shiqin, HUO Ru LIU Jiang, WANG Shuo and B. FENG Wei, “Blockchain technology Research review: Principles, progress and applications,” J. Commun., 2020.
  44. P. Danzi, M. Angjelichinoski, C. Stefanovic, and P. Popovski, “Distributed proportional-fairness control in microgrids via blockchain smart contracts,” in 2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017, vol. 2018- January. 2018, pp. 45–51. doi: 10.1109/SmartGridComm.2017.8340713.
  45. M. Foti, C. Mavromatis, and M. Vavalis, “Decentralized blockchain-based consensus for Optimal Power Flow solutions,” Appl. Energy, vol. 283, 2021, doi: 10.1016/j.apenergy.2020.116100.
  46. E. Munsing, J. Mather, and S. Moura, “Blockchains for decentralized optimization of energy resources in microgrid networks,” in 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017, vol. 2017- January. 2017, pp. 2164–2171. doi: 10.1109/CCTA.2017.8062773.
  47. J. A. F. Castellanos, D. Coll-Mayor, and J. A. Notholt, “Cryptocurrency as guarantees of origin: Simulating a green certificate market with the Ethereum Blockchain,” in 2017 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017. 2017, pp. 367–372. doi: 10.1109/SEGE.2017.8052827.
  48. F. Imbault, M. Swiatek, R. De Beaufort, and R. Plana, “The green blockchain: Managing decentralized energy production and consumption,” in Conference Proceedings - 2017 17th IEEE International Conference on Environment and Electrical Engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2017. 2017. doi: 10.1109/EEEIC.2017.7977613.
  49. K. N. Khaqqi, J. J. Sikorski, K. Hadinoto, and M. Kraft, “Incorporating seller/buyer reputation-based system in blockchain-enabled emission trading application,” Appl. Energy, vol. 209, pp. 8–19, 2018, doi: 10.1016/j.apenergy.2017.10.070.
  50. S. Cheng, B. Zeng, and Y. Z. Huang, “Research on application model of blockchain technology in distributed electricity market,” in IOP Conference Series: Earth and Environmental Science, vol. 93. 2017. doi: 10.1088/1755-1315/93/1/012065.
  51. J. Coignard, E. Munsing, J. MacDonald, and J. Mather, “Co-simulation framework for blockchain based market designs and grid simulations,” in IEEE Power and Energy Society General Meeting, vol. 2018- August. 2018. doi: 10.1109/PESGM.2018.8586124.
  52. J. C. Ferreira and A. L. Martins, “Building a community of users for open market energy,” Energies, vol. 11, no. 9, 2018, doi: 10.3390/en11092330.
  53. M. Foti, D. Greasidis, and M. Vavalis, “Viability analysis of a decentralized energy market based on blockchain,” in International Conference on the European Energy Market, EEM, vol. 2018- June. 2018. doi: 10.1109/EEM.2018.8469906.
  54. M. Foti and M. Vavalis, “Blockchain based uniform price double auctions for energy markets,” Appl. Energy, vol. 254, 2019, doi: 10.1016/j.apenergy.2019.113604.
  55. J. Guerrero, A. C. Chapman, and G. Verbič, “Decentralized P2P energy trading under network constraints in a low-voltage network,” IEEE Trans. Smart Grid, vol. 10, no. 5, pp. 5163–5173, 2018, doi: 10.1109/TSG.2018.2878445.
  56. A. Hahn, R. Singh, C.-C. Liu, and S. Chen, “Smart contract-based campus demonstration of decentralized transactive energy auctions,” in 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017. 2017. doi: 10.1109/ISGT.2017.8086092.
  57. I. Kounelis, G. Steri, R. Giuliani, D. Geneiatakis, R. Neisse, and I. Nai-Fovino, “Fostering consumers’ energy market through smart contracts,” in Energy and Sustainability in Small Developing Economies, ES2DE 2017 - Proceedings. 2017. doi: 10.1109/ES2DE.2017.8015343.
  58. K. Mannaro, A. Pinna, and M. Marchesi, “Crypto-trading: Blockchain-oriented energy market,” in 2017 AEIT International Annual Conference: Infrastructures for Energy and ICT: Opportunities for Fostering Innovation, AEIT 2017, vol. 2017- January. 2017, pp. 1–5. doi: 10.23919/AEIT.2017.8240547.
  59. E. Mengelkamp, J. Gärttner, and C. Weinhardt, “Decentralizing energy systems through local energy markets: The LAMP-project,” in MKWI 2018 - Multikonferenz Wirtschaftsinformatik, vol. 2018- March. 2018, pp. 924–930.
  60. E. Mengelkamp, B. Notheisen, C. Beer, D. Dauer, and C. Weinhardt, “A blockchain-based smart grid: Towards sustainable local energy markets,” Comput. Sci.-Res. Dev., no. 2, pp. 1–8, 2017.
  61. E. Mengelkamp, J. Gärttner, K. Rock, S. Kessler, L. Orsini, and C. Weinhardt, “Designing microgrid energy markets: A case study: The brooklyn microgrid,” Appl. Energy, vol. 210, pp. 870–880, 2018, doi: 10.1016/j.apenergy.2017.06.054.
  62. L. W. Park, S. Lee, and H. Chang, “A sustainable home energy prosumer-chain methodology with energy tags over the blockchain,” Sustain. Switz., vol. 10, no. 3, 2018, doi: 10.3390/su10030658.
  63. M. Sabounchi and J. Wei, “Towards resilient networked microgrids: Blockchain-enabled peer-to-peer electricity trading mechanism,” in 2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings, vol. 2018- January. 2017, pp. 1–5. doi: 10.1109/EI2.2017.8245449.
  64. E. R. Sanseverino, M. L. D. Silvestre, P. Gallo, G. Zizzo, and M. Ippolito, “The blockchain in microgrids for transacting energy and attributing losses,” in Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017, vol. 2018- January. 2018, pp. 925–930. doi: 10.1109/iThings-GreenCom-CPSCom-SmartData.2017.142.
  65. O. Saukh, F. Papst, and S. Saukh, “Synchronization games in P2P energy trading,” in 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018. 2018. doi: 10.1109/SmartGridComm.2018.8587421.
  66. J. J. Sikorski, J. Haughton, and M. Kraft, “Blockchain technology in the chemical industry: Machine-to-machine electricity market,” Appl. Energy, vol. 195, pp. 234–246, 2017, doi: 10.1016/j.apenergy.2017.03.039.
  67. M. Troncia, M. Galici, M. Mureddu, E. Ghiani, and F. Pilo, “Distributed ledger technologies for peer-to-peer local markets in distribution networks,” Energies, vol. 12, no. 17, 2019, doi: 10.3390/en12173249.
  68. D. Vangulick, B. Cornelusse, and D. Ernst, “Blockchain for peer-to-peer energy exchanges: Design and recommendations,” in 20th Power Systems Computation Conference, PSCC 2018. 2018. doi: 10.23919/PSCC.2018.8443042.
  69. J. Wang, Q. Wang, N. Zhou, and Y. Chi, “A novel electricity transaction mode of microgrids based on blockchain and continuous double auction,” Energies, vol. 10, no. 12, 2017, doi: 10.3390/en10121971.
  70. S. Zhao, B. Wang, Y. Li, and Y. Li, “Integrated energy transaction mechanisms based on blockchain technology,” Energies, vol. 11, no. 9, 2018, doi: 10.3390/en11092412.
  71. G. Zizzo, E. R. Sanseverino, M. G. Ippolito, M. Silvestre, and P. Gallo, “A technical approach to P2P energy transactions in microgrids,” IEEE Trans. Ind. Inform., vol. 3203, pp. 1–1, 2018.
  72. S. Jonas, L. Ammon, and R. G. ETHome, “Open-source blockchain based energy community controller. e-Energy ’18,” Proc. Ninth Int. Conf. Future Energy Syst. 12–15 Jun 2018, pp. 319–323, 2018.
  73. A. Lüth, J. M. Zepter, P. Crespo del Granado, and R. Egging, “Local electricity market designs for peer-to-peer trading: The role of battery flexibility,” Appl. Energy, vol. 229, pp. 1233–1243, 2018, doi: 10.1016/j.apenergy.2018.08.004.
  74. C. Dang, J. Zhang, C.-P. Kwong, and L. Li, “Demand side load management for big industrial energy users under blockchain-based peer-to-peer electricity market,” IEEE Trans. Smart Grid, vol. 10, no. 6, pp. 6426–6435, 2019, doi: 10.1109/TSG.2019.2904629.
  75. Y. Li, W. Yang, P. He, C. Chen, and X. Wang, “Design and management of a distributed hybrid energy system through smart contract and blockchain,” Appl. Energy, vol. 248, pp. 390–405, 2019, doi: 10.1016/j.apenergy.2019.04.132.
  76. S. Noor, W. Yang, M. Guo, K. H. van Dam, and X. Wang, “Energy Demand Side Management within micro-grid networks enhanced by blockchain,” Appl. Energy, vol. 228, pp. 1385–1398, 2018, doi: 10.1016/j.apenergy.2018.07.012.
  77. C. Pop, T. Cioara, M. Antal, I. Anghel, I. Salomie, and M. Bertoncini, “Blockchain based decentralized management of demand response programs in smart energy grids,” Sens. Switz., vol. 18, no. 1, 2018, doi: 10.3390/s18010162.
  78. P. Siano, G. De Marco, A. Rolan, and V. Loia, “A survey and evaluation of the potentials of distributed ledger technology for peer-to-peer transactive energy exchanges in local energy markets,” IEEE Syst. J., vol. 13, no. 3, pp. 3454–3466, 2019, doi: 10.1109/JSYST.2019.2903172.
  79. X. Wang, W. Yang, S. Noor, C. Chen, M. Guo, and K. H. Van Dam, “Blockchain-based smart contract for energy demand management,” in Energy Procedia, vol. 158. 2019, pp. 2719–2724. doi: 10.1016/j.egypro.2019.02.028.
  80. K. Xiang, B. Chen, H. Lin, Y. Shen, Y. Du, and T. Yan, “Automatic demand response strategy of local pure electric vehicle with battery energy storage system based on blockchain technology,” in 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings. 2018. doi: 10.1109/EI2.2018.8582289.
  81. X. Huang, C. Xu, P. Wang, and H. Liu, “LNSC: A security model for electric vehicle and charging pile management based on blockchain ecosystem,” IEEE Access Pract. Innov. Open Solut., vol. 6, pp. 13565–13574, 2018, doi: 10.1109/ACCESS.2018.2812176.
  82. X. Huang, Y. Zhang, D. Li, and L. Han, “An optimal scheduling algorithm for hybrid EV charging scenario using consortium blockchains,” Future Gener. Comput. Syst., vol. 91, pp. 555–562, 2019, doi: 10.1016/j.future.2018.09.046.
  83. J. Kang, R. Yu, X. Huang, S. Maharjan, Y. Zhang, and E. Hossain, “Enabling localized peer-to-peer electricity trading among plug-in hybrid electric vehicles using consortium blockchains,” IEEE Trans. Ind. Inform., vol. 13, no. 6, pp. 3154–3164, 2017, doi: 10.1109/TII.2017.2709784.
  84. N. H. Kim, S. M. Kang, and C. S. Hong, “Mobile charger billing system using lightweight Blockchain,” in 19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017. 2017, pp. 374–377. doi: 10.1109/APNOMS.2017.8094151.
  85. F. Knirsch, A. Unterweger, and D. Engel, “Privacy-preserving blockchain-based electric vehicle charging with dynamic tariff decisions,” Comput. Sci. - Res. Dev., vol. 33, no. 1–2, pp. 71–79, 2018, doi: 10.1007/s00450-017-0348-5.
  86. C. Liu, K. K. Chai, X. Zhang, E. T. Lau, and Y. Chen, “Adaptive blockchain-based electric vehicle participation scheme in smart grid platform,” IEEE Access Pract. Innov. Open Solut., vol. 6, pp. 25657–25665, 2018, doi: 10.1109/ACCESS.2018.2835309.
  87. A. R. Pedrosa and G. Pau, “ChargeItUp: On blockchain-based technologies for autonomous vehicles,” in CRYBLOCK 2018 - Proceedings of the 1st Workshop on Cryptocurrencies and Blockchains for Distributed Systems, Part of MobiSys 2018. 2018, pp. 87–92. doi: 10.1145/3211933.3211949.
  88. M. Pustišek, A. Kos, and U. Sedlar, “Blockchain based autonomous selection of electric vehicle charging station,” in Proceedings - 2016 International Conference on Identification, Information and Knowledge in the Internet of Things, IIKI 2016, vol. 2018- January. 2018, pp. 217–222. doi: 10.1109/IIKI.2016.60.
  89. T. Zhang, H. Pota, C.-C. Chu, and R. Gadh, “Real-time renewable energy incentive system for electric vehicles using prioritization and cryptocurrency,” Appl. Energy, vol. 226, pp. 582–594, 2018, doi: 10.1016/j.apenergy.2018.06.025.
  90. Z. Zhou, L. Tan, and G. Xu, “Blockchain and edge computing based vehicle-to-grid energy trading in energy internet,” in 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings. 2018. doi: 10.1109/EI2.2018.8582652.
  91. J. Bergquist, A. Laszka, M. Sturm, and A. Dubey, “On the design of communication and transaction anonymity in blockchain-based transactive microgrids,” in SERIAL 2017 - 1st Workshop on Scalable and Resilient Infrastructures for Distributed Ledgers, Colocated with ACM/IFIP/USENIX Middleware 2017 Conference. 2017. doi: 10.1145/3152824.3152827.
  92. R. Casado-Vara, J. Prieto, and J. M. Corchado, “How blockchain could improve fraud detection in power distribution grid,” Adv. Intell. Syst. Comput., vol. 771, pp. 67–76, 2019, doi: 10.1007/978-3-319-94120-2_7.
  93. C. Decusatis and K. Lotay, “Secure, decentralized energy resource management using the ethereum blockchain,” in Proceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018. 2018, pp. 1907–1913. doi: 10.1109/TrustCom/BigDataSE.2018.00290.
  94. J. Huang, L. Kong, G. Chen, M.-Y. Wu, X. Liu, and P. Zeng, “Towards Secure Industrial IoT: Blockchain System With Credit-Based Consensus Mechanism,” IEEE Trans. Ind. Inform., vol. 15, no. 6, pp. 3680–3689, Jun. 2019, doi: 10/gf3p4x.
  95. S. Khan and R. Khan, “Multiple authorities attribute-based verification mechanism for Blockchain mircogrid transactions,” Energies, vol. 11, no. 5, 2018, doi: 10.3390/en11051154.
  96. A. Laszka, A. Dubey, M. Walker, and D. Schmidt, “Providing privacy, safety, and security in IoT-Based transactive energy systems using distributed ledgers,” Provid. Priv. Saf. Secur. Iot-Based Trans. Energy Syst. Using Distrib. Ledgers, 2017.
  97. Z. Li, J. Kang, R. Yu, D. Ye, Q. Deng, and Y. Zhang, “Consortium blockchain for secure energy trading in industrial internet of things,” IEEE Trans. Ind. Inform., vol. 14, no. 8, pp. 3690–3700, 2018, doi: 10.1109/TII.2017.2786307.
  98. G. Liang, S. R. Weller, F. Luo, J. Zhao, and Z. Y. Dong, “Distributed blockchain-based data protection framework for modern power systems against cyber attacks,” IEEE Trans. Smart Grid, vol. 10, no. 3, pp. 3162–3173, 2019, doi: 10.1109/TSG.2018.2819663.
  99. M. Mylrea and S. N. G. Gourisetti, “Blockchain for smart grid resilience: Exchanging distributed energy at speed, scale and security,” in Proceedings - 2017 Resilience Week, RWS 2017. 2017, pp. 18–23. doi: 10.1109/RWEEK.2017.8088642.
  100. M. Mylrea and S. N. G. Gourisetti, “Blockchain: A path to grid modernization and cyber resiliency,” in 2017 North American Power Symposium, NAPS 2017. 2017. doi: 10.1109/NAPS.2017.8107313.
  101. J. Wan, J. Li, M. Imran, and D. Li, “A blockchain-based solution for enhancing security and privacy in smart factory,” IEEE Trans. Ind. Inform., vol. 15, no. 6, pp. 3652–3660, 2019, doi: 10.1109/TII.2019.2894573.
  102. L. Diestelmeier, “Changing power: Shifting the role of electricity consumers with blockchain technology – Policy implications for EU electricity law,” Energy Policy, vol. 128, pp. 189–196, 2019, doi: 10.1016/j.enpol.2018.12.065.
  103. T. Fan, Q. He, E. Nie, and S. Chen, “A study of pricing and trading model of Blockchain & Big data-based Energy-Internet electricity,” in IOP conference series: Earth and environmental science, IOP Publishing, 2018, p. 052083.
  104. A. Goranović, M. Meisel, L. Fotiadis, S. Wilker, A. Treytl, and T. Sauter, “Blockchain applications in microgrids an overview of current projects and concepts,” in IECON 2017-43rd annual conference of the IEEE industrial electronics society, IEEE, 2017, pp. 6153–6158.
  105. A. Meeuw, S. Schopfer, and F. Wortmann, “Experimental bandwidth benchmarking for P2P markets in blockchain managed microgrids,” Energy Procedia, vol. 159, pp. 370–375, 2019.
  106. J. Nieto-Martin and D. W. Bunn, “Enabling automated transparency for the market participation of ESCOs with Blockchain,” in 2018 IEEE power & energy society general meeting (PESGM), IEEE, 2018, pp. 1–5.
  107. A. Pieroni, N. Scarpato, L. Di Nunzio, F. Fallucchi, and M. Raso, “Smarter city: smart energy grid based on blockchain technology,” Int. J. Adv. Sci. Eng. Inf. Technol, vol. 8, no. 1, pp. 298–306, 2018.
  108. S. Wang, A. F. Taha, and J. Wang, “Blockchain-assisted crowdsourced energy systems,” in 2018 IEEE power & energy society general meeting (PESGM), IEEE, 2018, pp. 1–5.
  109. O. Novo, “Blockchain meets IoT: An architecture for scalable access management in IoT,” IEEE Internet Things J., vol. 5, no. 2, pp. 1184–1195, 2018.
  110. Z. Yang, K. Yang, L. Lei, K. Zheng, and V. C. Leung, “Blockchain-based decentralized trust management in vehicular networks,” IEEE Internet Things J., vol. 6, no. 2, pp. 1495–1505, 2018.
  111. A. Dorri, S. S. Kanhere, R. Jurdak, and P. Gauravaram, “Blockchain for IoT security and privacy: The case study of a smart home,” in 2017 IEEE international conference on pervasive computing and communications workshops (PerCom workshops), IEEE, 2017, pp. 618–623.
  112. Z. Xiong, Y. Zhang, D. Niyato, P. Wang, and Z. Han, “When mobile blockchain meets edge computing,” IEEE Commun. Mag., vol. 56, no. 8, pp. 33–39, 2018.
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