Enhancing Efficiency and Fine-Grained Control in Redactable Blockchains with EPBCHF

Shams Abdali, Mohd Najwadi Y, Hasan Falah Hasan
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引用次数: 0

Abstract

 Blockchain technology has presented a promising decentralized paradigm to preclude trusted thirdparties' dominancy. It is a transparent and distributed ledger initially designed for digital cryptocurrencies whilecurrently extended to serve various industries. However, Blockchain immutability presents challenges, as it can bemisused for storing illicit content, violating privacy regulations, and limiting data management flexibility. PolicyBased Chameleon Hash Function (PBCH) has transformed blockchain rewriting contents concept via permittingmodifiers to amend certain transaction since they possessed fundamental privileges satisfying certain access policy.However, PBCHF suffers from efficiency issues due to its reliance on Chameleon Hash ephemeral Trapdoor (CHET)and Attribute-Based Encryption (ABE), significantly impacting overall efficiency. We propose the Efficient PolicyBased Chameleon (EPBCHF) construction by replacing CHET with Chameleon-Hashes by Dual Long-TermTrapdoors (CHDLTT) to address these challenges. Additionally, we introduce an enhanced encryption schemeresilient against chosen-ciphertext attacks (CCA) without compromising overall efficiency. Modelling EPBCHFproves practical instantiation accompanied by rigorous security proofs. Our construction provides a fine-grainedredactable blockchain in comparison to the currently proposed solutions. The evaluated results confirm that theproposed EPBCHF is scalable and efficient due to having the ability to handle unlimited transaction volumesadditionally, data is efficiently processed without further overhead meanwhile data size consistency reflects a robustmemory management due to predicted memory size, network bandwidth and storage requirement for future growththereby, EPBCHF is proven to be reliable and scalable.
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利用 EPBCHF 提高可重构区块链的效率并加强细粒度控制
区块链技术提出了一种前景广阔的去中心化范式,以排除可信第三方的主导地位。它是一种透明的分布式账本,最初是为数字加密货币设计的,目前已扩展到各行各业。然而,区块链的不可篡改性也带来了挑战,因为它可能被用于存储非法内容、违反隐私法规以及限制数据管理的灵活性。基于策略的变色龙哈希函数(PolicyBased Chameleon Hash Function,PBCH)转变了区块链重写内容的概念,通过允许修改器修改某些交易,因为它们拥有满足特定访问策略的基本权限。然而,PBCHF由于依赖变色龙哈希短暂陷阱门(Chameleon Hash ephemeral Trapdoor,CHET)和基于属性的加密(Attribute-Based Encryption,ABE)而存在效率问题,严重影响了整体效率。为了应对这些挑战,我们提出了基于高效策略的变色龙(EPBCHF)结构,用双长期陷阱门(CHDLTT)替代变色龙哈希(CHET)。此外,我们还引入了一种增强的加密算法,可在不影响整体效率的情况下抵御选择密文攻击(CCA)。对 EPBCHF 的建模证明了实际的实例化,并附有严格的安全性证明。与目前提出的解决方案相比,我们的构建提供了细粒度的可编辑区块链。评估结果证实,所提出的 EPBCHF 具有可扩展性和高效性,因为它有能力处理无限量的交易。此外,数据得到了高效处理,没有进一步的开销,同时数据大小的一致性反映了稳健的内存管理,因为它预测了未来增长所需的内存大小、网络带宽和存储需求,因此 EPBCHF 被证明是可靠和可扩展的。
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SUMER: A New Family of Lightweight and Traditional Block Ciphers with Multi-Modes Picard and Adomian decomposition methods for a fractional quadratic integral equation via generalized fractional integral Enhancing Efficiency and Fine-Grained Control in Redactable Blockchains with EPBCHF Detecting Data Poisoning Attacks in Federated Learning for Healthcare Applications Using Deep Learning Particle Swarm Optimization for Penalize cox models in long-term prediction of breast cancer data
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