Open Access
Issue
ITM Web Conf.
Volume 73, 2025
International Workshop on Advanced Applications of Deep Learning in Image Processing (IWADI 2024)
Article Number 03012
Number of page(s) 6
Section Blockchain, AI, and Technology Integration
DOI https://doi.org/10.1051/itmconf/20257303012
Published online 17 February 2025
  1. B. Mišić V, S. Naderi Mighan, J. Mišić, et al. Decentralization Is Good or Not? Defending Consensus in Ethereum 2.0. Blockchains, 2(1), 1-19 (2024). [Google Scholar]
  2. A. Asgaonkar, F. D’Amato, R. Saltini, et al. A Confirmation Rule for the Ethereum Consensus Protocol. arXiv preprint arXiv:2405.00549 (2024). [Google Scholar]
  3. F. D’Amato, L. Zanolini. Recent Latest Message Driven GHOST: Balancing Dynamic Availability With Asynchrony Resilience. Cryptology ePrint Archive (2023). [Google Scholar]
  4. S. Bistarelli, C. Laneve, I. Mercanti, et al. Analyzing the Fairness of Proof of Stake Ethereum. dlt2024.di.unito.it (2021). [Google Scholar]
  5. M. Saad, Z. Qin, K. Ren, et al. e-PoS: Making proof-of-stake decentralized and fair. IEEE Transactions on Parallel and Distributed Systems, 32(8), 1961-1973 (2021). [CrossRef] [Google Scholar]
  6. F. D’Amato, J. Neu, N. Tas E, et al. No more attacks on proof-of-stake ethereum. arXiv preprint arXiv:2209.03255 (2022). [Google Scholar]
  7. J. Neu, N. Tas E, D. Tse. Ebb-and-flow protocols: A resolution of the availability- finality dilemma. In: 2021 IEEE Symposium on Security and Privacy (SP), IEEE, pp. 446-465 (2021). [Google Scholar]
  8. S. Sharma. Gasper-Siesta: Reducing Ethereum’s Commit Latency. eecs.berkeley.edu (2024). [Google Scholar]
  9. N. Giridharan, F. Suri-Payer, M. Ding, et al. BeeGees: stayin’ alive in chained BFT. In: Proceedings of the 2023 ACM Symposium on Principles of Distributed Computing, pp. 233-243 (2023). [Google Scholar]
  10. X. Tang, X. Lan, L. Li, Y. Zhang & Z. Han. Incentivizing proof-of-stake blockchain for secured data collection in UAV-assisted IoT: A multi-agent reinforcement learning approach. IEEE Journal on Selected Areas in Communications, 40(12), 3470-3484 (2022). [CrossRef] [Google Scholar]

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