Results 221 to 230 of about 94,746 (270)

Blockchain Transaction Verification Scheme Based on Vector Commitments

International Journal of High Speed Electronics and Systems
Blockchain, with its features of decentralization, immutability and security, has emerged as a revolutionary technology. However, the rapid growth of distributed ledgers leads to escalating storage costs, high transaction verification overhead and low throughput, limiting its scalability in broader applications. To address these challenges, this study
Shilong Chu, Wenbao Jiang, Haibao Zhang
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Structure-Preserving Compressing Primitives: Vector Commitments and Accumulators

bstract. Compressing primitives such as accumulators and vector commitments, allow to represent large data sets with some compact, ideally constant-sized value. Moreover, they supportoperations like proving membership or non-membership with minimal, ideally also constantsized, storage and communication overhead.
Krenn, Stephan, Mir, Omid, Slamanig, Daniel   +2 more
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Efficient Proactive Secret Sharing for Large Data via Concise Vector Commitments

2019
Proactive secret sharing has been proposed by Herzberg, Jarecki, Krawczyk, and Yung (CRYPTO’95) and is a powerful tool for storing highly confidential data. However, their scheme is not designed for storing large data and communication and computation costs scale linearly with the data size.
Matthias Geihs, Lucas Schabhüser, Johannes Buchmann   +2 more
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Version Vector Weighted Voting protocol: efficient and fault‐tolerant commitment for weakly connected replicas

Concurrency and Computation: Practice and Experience, 2007
AbstractMobile and other loosely coupled environments call for decentralized optimistic replication protocols that provide highly available access to shared objects, while ensuring eventual consistency. We propose a protocol based on epidemic weighted voting for achieving such a goal with better availability than traditional primary commit approaches ...
João Barreto, Paulo Ferreira
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Vector ordinal optimization theory based large‐scale multi‐objective unit commitment considering stochastic wind power

IEEJ Transactions on Electrical and Electronic Engineering, 2017
The unit commitment problem of a large power system with the popularity of large‐scale wind power is complex and difficult to solve. Vector ordinal optimization (VOO) is a new method to solve multi‐objective optimization problems with complex calculation burdens which can obtain a satisfactory solution at a high enough probability.
Min Xie, Yuanyuan Yan, Shaojia Ke, Mingbo Liu   +3 more
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Oblivious PRF on Committed Vector Inputs and Application to Deduplication of Encrypted Data

2019
Ensuring secure deduplication of encrypted data is a very active topic of research because deduplication is effective at reducing storage costs. Schemes supporting deduplication of encrypted data that are not vulnerable to content guessing attacks (such as Message Locked Encryption) have been proposed recently [Bellare et al. 2013, Li et al.
Jan Camenisch, Angelo De Caro, Esha Ghosh, Alessandro Sorniotti   +3 more
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Distributed Medical Data Storage Mechanism Based on Proof of Retrievability and Vector Commitment for Metaverse Services

IEEE Journal of Biomedical and Health Informatics
The metaverse is a unified, persistent, and shared multi-user virtual environment with a fully immersive, hyper-temporal, and diverse interconnected network. When combined with healthcare, it can effectively improve medical services and has great potential for development in realizing medical training, enhanced teaching, and remote surgical treatment ...
Guowei Fang, Yi Sun, Mutiq Almutiq, Wei Zhou, Yekang Zhao, Yongjun Ren   +5 more
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An Efficient Range Proof Based on Polynomial Commitment and Vector Inner Product Commitment

2023
Lin You, Chunjie Guo, Gengran Hu
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Succinct Vector, Polynomial, and Functional Commitments from Lattices

2023
Hoeteck Wee, David J. Wu
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USENIX-artifict, Distributed Vector Commitments and Their Applications

README: USENIX 2026 “Distributed Vector Commitments and Their Applications” The project can run on both Windows and Linux environments (Ubuntu version 20.04 or higher). This project is built on the Python binding of the mcl library (BLS-12381), which is originally implemented in Go.
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