Ripple+: An Improved Scheme of Ripple Consensus Protocol in Deployability, Liveness and Timing Assumption

Ma, Chuanwang; Fang, Binxing; Zhang, Hongli; Jin, Yulong; Zhou, Dasheng

doi:10.32604/cmes.2022.016838

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…Each node in the blockchain system maintains the same backup of the entire ledger, and in subsequent developments, some nodes have emerged to keep only partial ledger blockchains, such as Stefano's scheme [40]. Consistency of the digital ledgers on these nodes is guaranteed by consensus protocols [41,42] among the nodes. The implementation mechanism of the blockchain ensures that data cannot be changed once written to the blockchain.…”

Section: Blockchainmentioning

confidence: 99%

PIMS: An Efficient Process Integrity Monitoring System Based on Blockchain and Trusted Computing in Cloud-Native Context

Yang¹,

Huang²,

Liu³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

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With the advantages of lightweight and high resource utilization, cloud-native technology with containers as the core is gradually becoming the mainstream technical architecture for information infrastructure. However, malware attacks such as Doki and Symbiote threaten the container runtime's security. Malware initiates various types of runtime anomalies based on process form (e.g., modifying the process of a container, and opening the external ports). Fortunately, dynamic monitoring mechanisms have proven to be a feasible solution for verifying the trusted state of containers at runtime. Nevertheless, the current routine dynamic monitoring mechanisms for baseline data protection are still based on strong security assumptions. As a result, the existing dynamic monitoring mechanism is still not practical enough. To ensure the trustworthiness of the baseline value data and, simultaneously, to achieve the integrity verification of the monitored process, we combine blockchain and trusted computing to propose a process integrity monitoring system named IPMS. Firstly, the hardware TPM 2.0 module is applied to construct a trusted security foundation for the integrity of the process code segment due to its tamper-proof feature. Then, design a new format for storing measurement logs, easily distinguishing files with the same name in different containers from log information. Meanwhile, the baseline value data is stored on the blockchain to avoid malicious damage. Finally, trusted computing technology is used to perform fine-grained integrity measurement and remote attestation of processes in a container, detect abnormal containers in time and control them. We have implemented a prototype system and performed extensive simulation experiments to test and analyze the functionality and performance of the PIMS. Experimental results show that PIMS can accurately and efficiently detect tampered processes with only 3.57% performance loss to the container.

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Section: Blockchainmentioning

confidence: 99%

PIMS: An Efficient Process Integrity Monitoring System Based on Blockchain and Trusted Computing in Cloud-Native Context

Yang¹,

Huang²,

Liu³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

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“…This work suggests space for optimizations on the minimum UNL overlap, suggesting also the necessity of a malicious node estimator. Ripple+ [15] jumps into this gap and brings a mechanism for selecting UNLs based on a structure of core and leaf nodes.…”

Section: Introductionmentioning

confidence: 99%

Pub/Sub Dissemination on the XRP Ledger

de Cristo,

Shbair,

Trestioreanu

et al. 2023

2023 IEEE Latin-American Conference on Communications (LATINCOM)

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The XRP Ledger is one of the oldest and most wellestablished blockchains, using a particular type of consensus mechanism that differs from the typical Proof of Work and Proof of Stake. The underlying p2p network uses flooding to disseminate certain types of messages during the consensus rounds, leading to performance and scalability issues. In this work, we propose the use of publisher/subscriber dissemination on the XRPL using GossipSub to diminish the message overhead. We use Flexi-pipe, a tool that allows the integration between the XRPL validator and GossipSub, to evaluate the improvements brought.

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“…In the paper "Ripple+: An Improved Scheme of Ripple Consensus Protocol in Deployability, Liveness and Timing Assumption", Ma et al [3] present Ripple+ to improve Ripple from three aspects: (1) Ripple+ employs a specific trust model to make it easy to deploy; (2) the primary and view change mechanism are joined to solve the liveness problem; (3) they improve details to make it suitable for weak synchrony assumption.…”

mentioning

confidence: 99%