TeeRollup: Efficient Rollup Design Using Heterogeneous TEE
- URL: http://arxiv.org/abs/2409.14647v2
- Date: Sat, 04 Jan 2025 08:23:22 GMT
- Title: TeeRollup: Efficient Rollup Design Using Heterogeneous TEE
- Authors: Xiaoqing Wen, Quanbi Feng, Hanzheng Lyu, Jianyu Niu, Yinqian Zhang, Chen Feng,
- Abstract summary: This paper introduces TEERollup, an efficient rollup protocol that leverages Trusted Execution Environments (TEEs) to achieve both low gas costs and short withdrawal delays.
TEERollup adopts a practical threat model where the integrity and availability of TEEs may be compromised.
We show that TEERollup outperforms most zero-knowledge rollups (ZK-rollups), reducing on-chain verification costs by approximately 86% and withdrawal delays to a few minutes.
- Score: 21.70475873478623
- License:
- Abstract: Rollups have emerged as a promising approach to improving blockchains' scalability by offloading transactions execution off-chain. Existing rollup solutions either leverage complex zero-knowledge proofs or optimistically assume execution correctness unless challenged. However, these solutions suffer from high gas costs and significant withdrawal delays, hindering their adoption in decentralized applications. This paper introduces TEERollup, an efficient rollup protocol that leverages Trusted Execution Environments (TEEs) to achieve both low gas costs and short withdrawal delays. Sequencers (system participants) execute transactions within TEEs and upload signed execution results to the blockchain with confidential keys of TEEs. Unlike most TEE-assisted blockchain designs, TEERollup adopts a practical threat model where the integrity and availability of TEEs may be compromised. To address these issues, we first introduce a distributed system of sequencers with heterogeneous TEEs, ensuring system security even if a certain proportion of TEEs are compromised. Second, we propose a challenge mechanism to solve the redeemability issue caused by TEE unavailability. Furthermore, TEERollup incorporates Data Availability Providers (DAPs) to reduce on-chain storage overhead and uses a laziness penalty mechanism to regulate DAP behavior. We implement a prototype of TEERollup in Golang, using the Ethereum test network, Sepolia. Our experimental results indicate that TEERollup outperforms zero-knowledge rollups (ZK-rollups), reducing on-chain verification costs by approximately 86% and withdrawal delays to a few minutes.
Related papers
- Zaptos: Towards Optimal Blockchain Latency [52.30047458198369]
We introduce Zaptos, a parallel pipelined architecture designed to minimize end-to-end latency.
Zaptos achieves a throughput of 20,000 transactions per second with sub-second latency.
arXiv Detail & Related papers (2025-01-18T00:22:22Z) - EvoChain: a Recovery Approach for Permissioned Blockchain Applications [7.094737268994282]
This article presents EvoChain, a chaincode framework extension introducing controlled mutability for data redaction and recovery under time-limited or specific conditions.
We validated our approach using WineTracker, a Hyperledger Fabric-based supply chain application.
arXiv Detail & Related papers (2024-11-25T23:02:17Z) - Digital Twin-Assisted Federated Learning with Blockchain in Multi-tier Computing Systems [67.14406100332671]
In Industry 4.0 systems, resource-constrained edge devices engage in frequent data interactions.
This paper proposes a digital twin (DT) and federated digital twin (FL) scheme.
The efficacy of our proposed cooperative interference-based FL process has been verified through numerical analysis.
arXiv Detail & Related papers (2024-11-04T17:48:02Z) - Mitigating Challenges in Ethereum's Proof-of-Stake Consensus: Evaluating the Impact of EigenLayer and Lido [4.606106768645647]
The transition from a Proof-of-Work (PoW) to a Proof-of-Stake (PoS) consensus mechanism introduces a transformative approach to blockchain validation.
This paper explores two innovative solutions: EigenLayer and Lido.
We conclude with an evaluation of the combined potential of EigenLayer and Lido to foster a more resilient and inclusive ecosystem.
arXiv Detail & Related papers (2024-10-30T19:58:46Z) - MECURY: Practical Cross-Chain Exchange via Trusted Hardware [22.99870575331708]
We present MERCURY, a practical cryptocurrency exchange that is trust-minimized and efficient without online-client requirements.
We show that MERCURY significantly reduces on-chain costs by approximately 67.87%, 45.01%, and 47.70%, respectively.
arXiv Detail & Related papers (2024-09-23T00:52:13Z) - RollupTheCrowd: Leveraging ZkRollups for a Scalable and Privacy-Preserving Reputation-based Crowdsourcing Platform [2.90114256542208]
Current blockchain-based reputation solutions for crowdsourcing fail to tackle the challenge of ensuring both efficiency and privacy without compromising the scalability of the blockchain.
This paper introduces RollupTheCrowd, a novel blockchain-powered crowdsourcing framework that leverages zkRollups to enhance system scalability while protecting user privacy.
Our framework includes an effective and privacy-preserving reputation model that gauges workers' trustworthiness by assessing their crowdsourcing interactions.
arXiv Detail & Related papers (2024-07-02T12:51:32Z) - Maximizing Blockchain Performance: Mitigating Conflicting Transactions through Parallelism and Dependency Management [0.18641315013048293]
"Conflicting transactions" contribute to high network latency and transaction failures.
We present a novel scheme that integrates transaction parallelism and an intelligent dependency manager.
Results show that our scheme outperforms both existing parallel and non-parallel Hyperledger Fabric blockchain networks.
arXiv Detail & Related papers (2024-07-01T16:17:33Z) - Model Supply Chain Poisoning: Backdooring Pre-trained Models via Embedding Indistinguishability [61.549465258257115]
We propose a novel and severer backdoor attack, TransTroj, which enables the backdoors embedded in PTMs to efficiently transfer in the model supply chain.
Experimental results show that our method significantly outperforms SOTA task-agnostic backdoor attacks.
arXiv Detail & Related papers (2024-01-29T04:35:48Z) - Generative AI-enabled Blockchain Networks: Fundamentals, Applications,
and Case Study [73.87110604150315]
Generative Artificial Intelligence (GAI) has emerged as a promising solution to address challenges of blockchain technology.
In this paper, we first introduce GAI techniques, outline their applications, and discuss existing solutions for integrating GAI into blockchains.
arXiv Detail & Related papers (2024-01-28T10:46:17Z) - Fair and Efficient Distributed Edge Learning with Hybrid Multipath TCP [62.81300791178381]
The bottleneck of distributed edge learning over wireless has shifted from computing to communication.
Existing TCP-based data networking schemes for DEL are application-agnostic and fail to deliver adjustments according to application layer requirements.
We develop a hybrid multipath TCP (MP TCP) by combining model-based and deep reinforcement learning (DRL) based MP TCP for DEL.
arXiv Detail & Related papers (2022-11-03T09:08:30Z) - Regulation conform DLT-operable payment adapter based on trustless -
justified trust combined generalized state channels [77.34726150561087]
Economy of Things (EoT) will be based on software agents running on peer-to-peer trustless networks.
We give an overview of current solutions that differ in their fundamental values and technological possibilities.
We propose to combine the strengths of the crypto based, decentralized trustless elements with established and well regulated means of payment.
arXiv Detail & Related papers (2020-07-03T10:45:55Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.