Proceedings of International Conference on Applied Innovation in IT  ·  2026/03/31  ·  Vol. 14  ·  Issue 1  ·  pp. 1161–1170
Chia Blockchain Network: A Review
Hiyam Hashem Saeed and Ziyad Tariq Mustafa Al-Ta'i
Chia is envisioned to become a novel blockchain that captures the best of Bitcoin and beyond. The platform does not necessitate complex, energy-intensive Proof of Work (PoW) mechanisms, in contrast to traditional networks such as Bitcoin. A novel Nakamoto consensus algorithm, known as Proof of Space and Time, is employed instead. This approach facilitates farming, a more energy-efficient alternative to mine formation, owing to network capacities. This article provides a comprehensive overview of the Chia Blockchain Network. This paper presents an overview of the network's composition, a system diagram, and prospective use case scenarios for various niches. The report also compared the new network to prominent existing networks, including Bitcoin and Ethereum, with respect to decentralized file storage, scalability, and security. The economic model of Chia, which prioritizes storage as the primary commodity and promotes sustainability, was also analyzed. The calculations indicate that Chia's energy usage per transaction is X% lower than Bitcoin's, while its transactions per second (TPS) is Y% higher than Ethereum's, hence providing enhanced scalability. This study examines the structure of Chia’s invention in relation to the blockchain trilemmas, where decentralization, security, and scalability determine the path an entity must follow. Additionally, the potential applications of Chia in decentralized finance and supply chain management will be examined. The results suggested that Chia may represent a revolutionary framework in contemporary blockchains, offering a more efficient, secure, and scalable network for high-volume operations.
Chia Blockchain Proof of Space and Time (PoST) Energy Efficiency Verifiable Delay Functions (VDFs).
References
  1. Y. I. Alzoubi and A. Mishra, “Green blockchain – A move towards sustainability,” Journal of Cleaner Production, vol. 430, p. 139541, Nov. 2023, , [Online]. Available: https://doi.org/10.1016/j.jclepro.2023.139541.
  2. M. Anus and M. A. Ngadi, “Comparison analysis of blockchain consensus algorithms in decentralized public environment: A review,” Asia Proceedings of Social Sciences, vol. 12, no. 1, p. 108, Mar. 24, 2024, , doi: 10.31580/jm7sfp03.
  3. W. Yan, H. Wang and Y. Cao, “Comprehensive review of storage optimization techniques in blockchain systems,” Applied Sciences, vol. 15, no. 1, p. 243, Dec. 2024, , [Online]. Available: https://doi.org/10.3390/app15010243.
  4. A. Khosravi and F. Säämäki, “Beyond Bitcoin: Evaluating energy consumption and environmental impact across cryptocurrency projects,” Energies, vol. 16, no. 18, p. 6610, Sep. 2023, , [Online]. Available: https://doi.org/10.3390/en16186610.
  5. A. L. Bulgakov, A. V. Aleshina, S. D. Smirnov, A. D. Demidov, M. A. Milyutin and Y. Xin, “Scalability and security in blockchain networks: Evaluation of sharding algorithms and prospects for decentralized data storage,” Oct. 2024, , doi: 10.20944/prepr.
  6. A. J. Akbarfam, G. Dorai and H. Maleki, “Secure cross-chain provenance for digital forensics collaboration,” arXiv, Jun. 2024, , [Online]. Available: https://doi.org/10.48550/arxiv.2406.11729.
  7. B. Sello, J. Yong and X. Tao, “Erdos: A novel blockchain consensus algorithm with equitable node selection and deterministic block finalization,” Data Science and Engineering, Jun. 2024, , [Online]. Available: https://doi.org/10.1007/s41019-024-00251-0.
  8. Y. Xiao, N. Zhang, W. Lou and Y. T. Hou, “A survey of distributed consensus protocols for blockchain networks,” IEEE Communications Surveys & Tutorials, vol. 22, no. 2, p. 1432, Jan. 2020, , [Online]. Available: https://doi.org/10.1109/comst.2020.2969706.
  9. A. M. Ruzbahani, “AI-protected blockchain-based IoT environments: Harnessing the future of network security and privacy,” arXiv, May 2024, , [Online]. Available: https://doi.org/10.48550/arxiv.2405.13847.
  10. Md. Tauseef, M. R. Kounte, A. H. Nalband and M. R. Ahmed, “Exploring the joint potential of blockchain and AI for securing Internet of Things,” International Journal of Advanced Computer Science and Applications, vol. 14, no. 4, Jan. 2023.
  11. A. M. Al‐Enizi, S. Mishra and A. Baihan, “Enhancing secure financial transactions through the synergy of blockchain and artificial intelligence,” Ain Shams Engineering Journal, vol. 15, no. 6, p. 102733, Mar. 2024, , [Online]. Available: https://doi.org/10.1016/j.asej.2024.102733.
  12. D. Priyadarshana, T. R. Rao and M. S. Rao, “AI and blockchain technology for secure and transparent financial transactions,” International Journal of Science and Research Archive, vol. 13, no. 1, p. 2013, Oct. 2024, , [Online]. Available: https://doi.org/10.30574/ijsra.2024.13.1.1845.
  13. J. I. Orlicki, “Sequential proof-of-work for fair staking and distributed randomness beacons,” arXiv, Aug. 2020, , [Online]. Available: https://arxiv.org/pdf/2008.10189.
  14. M. Alharby, A. Alssaiari, S. Alateef, N. Thomas and A. van Moorsel, “A quantitative analysis of the security of PoW-based blockchains,” Cluster Computing, vol. 27, no. 10, p. 14113, Jul. 2024, , [Online]. Available: https://doi.org/10.1007/s10586-024-04645-7.
  15. Y. Feng, J. Xu and L. Weymouth, “University blockchain research initiative (UBRI): Boosting blockchain education and research,” IEEE Potentials, vol. 41, no. 6, p. 19, Nov. 2022, , [Online]. Available: https://doi.org/10.1109/mpot.2022.3198929.
  16. “Explainable AI in Algorithmic Trading: Mitigating Bias and Improving Regulatory Compliance in Finance,” Int. J. Comput. Appl. Technol. Res., Mar. 2025, , doi: 10.7753/ijcatr1404.1006.
  17. K. Siam et al., “Securing decentralized ecosystems: A comprehensive systematic review of blockchain vulnerabilities, attacks, and countermeasures and mitigation strategies,” Future Internet, vol. 17, no. 4, p. 183, Apr. 2025, , doi: 10.3390.
  18. A. Kuznetsov, P. Sernani, L. Romeo, E. Frontoni and A. Mancini, “On the integration of artificial intelligence and blockchain technology: A perspective about security,” IEEE Access, vol. 12, p. 3881, Jan. 2024, , [Online]. Available: https://doi.org/10.1109/access.2023.33.
  19. J. L. Prasad, C. P., S. Nagulmeera and V. Avinash, “Enhancing IoT security: Addressing challenges, implementing solutions, and envisioning cybersecurity trends for the future,” International Journal of Engineering Applied Sciences and Technology, vol. 8, no. 6, p. 48, Oct. 2023, , [Online]. Available: https://doi.org/10.33564/ijeast.2023.v08i06.006.
  20. Y. I. Alzoubi and A. Mishra, “Green blockchain – A move towards sustainability,” J. Clean. Prod., vol. 430, p. 139541, 2023.
  21. M. Pineda, D. Jabba, W. Nieto-Bernal and A. Pérez, “Sustainable consensus algorithms applied to blockchain: A systematic literature review,” Sustainability, vol. 16, no. 23, p. 10552, 2024.
  22. S. S. M. Abdul, “Navigating blockchain’s twin challenges: Scalability and regulatory compliance,” Blockchains, vol. 2, no. 3, pp. 265–298, 2024.
  23. M. Anus and M. A. Ngadi, “Comparison analysis of blockchain consensus algorithms in decentralized public environment: A review,” Asia Proc. Soc. Sci., vol. 12, no. 1, p. 108, Mar. 24, 2024, doi: 10.31580/jm7sfp03.
  24. S. D. Angelis, F. Lombardi, G. Zanfino, L. Aniello and V. Sassone, “Security and dependability analysis of blockchain systems in partially synchronous networks with Byzantine faults,” International Journal of Parallel Emergent and Distributed Systems.
  25. K. Kumar, D. Kumar, S. Baghel and K. Arora, “Blockchain security: Threats, vulnerabilities and countermeasures - A review,” Jan. 1, 2025, doi: 10.2139/ssrn.5066915.
  26. R. Alajlan, N. Alhumam and M. Frikha, “Cybersecurity for blockchain-based IoT systems: A review,” Applied Sciences, vol. 13, no. 13, p. 7432, Jun. 22, 2023, , [Online]. Available: https://doi.org/10.3390/app13137432.
  27. S. Arshad, A. Shah, M. H. Nasir and K. Salah, “Chia blockchain: Real-world performance analysis and scalability,” IEEE Access, vol. 12, pp. 17439–17451, 2024.
  28. S. Arshad, S. Latif, S. Ahmad and S. Irfan, “Increasing profitability and confidence by using an interpretable model for investment decisions,” Research Square, Dec. 2023, doi: 10.21203/rs3.rs-3800581/v1.
  29. M. Makhdoom, M. A. M. S. K. Abid and S. Iqbal, “A survey of scalable blockchain solutions: Analysis, challenges, and future directions,” IEEE Access, vol. 12, pp. 32321–32335, 2024.
  30. X. Peng, Y. Zhang and F. Wang, “Blockchain-based traffic management: A case study in KDD Cup 1999,” IEEE Access, vol. 12, pp. 14508–14519, 2024.
  31. A. Saxena and B. H. Chiu, “BOFUS and CLARITY: Streamlining blockchain architecture and assessment for advanced standardization and interoperability in distributed ledger technologies,” Front. Blockchain, vol. 6, p. 1235088, 2023.
  32. M. H. Nasir, J. Arshad, M. M. Khan, M. Fatima, K. Salah and R. Jayaraman, “Scalable blockchains — A systematic review,” Future Gener. Comput. Syst., vol. 126, pp. 136–162, 2022.
  33. Leonardos, D. Reijsbergen and G. Piliouras, “PREStO: A systematic framework for blockchain consensus protocols,” IEEE Trans. Eng. Manag., vol. 67, no. 4, pp. 1028–1044, 2020.
  34. A. Khosravi and F. Säämäki, “Beyond Bitcoin: Evaluating energy consumption and environmental impact across cryptocurrency projects,” Energies, vol. 16, no. 18, p. 6610, Sep. 2023, , [Online]. Available: https://doi.org/10.3390/en16186610.
  35. A. L. Bulgakov, A. V. Aleshina, S. D. Smirnov, A. D. Demidov, M. A. Milyutin and Y. Xin, “Scalability and security in blockchain networks: Evaluation of sharding algorithms and prospects for decentralized data storage,” Oct. 2024, doi: 10.20.
  36. P. Febrero and J. Pereira, “Cryptocurrency correlations across the three-dimensional space: Governance decentralization, security, and scalability,” IEEE Access, vol. 8, pp. 207925–207936, 2020.
  37. P. Lakkarasu, “Advancing explainable AI for AI-driven security and compliance in financial transactions,” Nov. 2024, doi: 10.70179/784ef287.
  38. H. M. Ismael, Z. Tariq Mustafa Al-Ta and A. Emails Mordasshani, “Authentication and encryption drone communication by using HIGHT lightweight algorithm,” 2021.
  39. G. Quattrocc, F. Scaramuzza and D. A. Tamburri, “The blockchain trilemma: An evaluation framework,” IEEE Softw., vol. 41, no. 5, pp. 101–109, 2024.
  40. M. Makhd, M. A. M. S. K. Abid and S. Iqbal, “Blockchain technology: Applications and challenges,” IEEE Access, vol. 7, pp. 98493–98504, 2019.

Proceedings of the International Conference on Applied Innovations in IT by Anhalt University of Applied Sciences is licensed under CC BY-SA 4.0  ·  This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

ICAIIT 2026
International Conference on Applied Innovation in IT
Navigation
Publisher
ISSN2199-8876
Location Anhalt University of Applied Sciences
Phone +49 (0) 3496 67 5611
Address Building 01, Room 425
Bernburger Str. 55
D-06366 Köthen, Germany
Open Access License

All works are licensed under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0), unless otherwise noted.

Published by ICAIIT in cooperation with Anhalt University of Applied Sciences.

© 2026 ICAIIT — International Conference on Applied Innovations in IT. Anhalt University of Applied Sciences, Köthen, Germany.
Visitors: site traffic counter