当前位置: X-MOL 学术J. Parallel Distrib. Comput. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Differential privacy in blockchain technology: A futuristic approach
Journal of Parallel and Distributed Computing ( IF 3.4 ) Pub Date : 2020-06-17 , DOI: 10.1016/j.jpdc.2020.06.003
Muneeb Ul Hassan , Mubashir Husain Rehmani , Jinjun Chen

Blockchain has received a widespread attention because of its decentralized, tamper-proof, and transparent nature. Blockchain works over the principle of distributed, secured, and shared ledger, which is used to record, and track data within a decentralized network. This technology has successfully replaced certain systems of economic transactions in organizations and has the potential to overtake various industrial business models in future. Blockchain works over peer-to-peer (P2P) phenomenon for its operation and does not require any trusted-third party authorization for data tracking and storage. The information stored in blockchain is distributed throughout the decentralized network and is usually protected using cryptographic hash functions. Since the beginning of blockchain technology, its use in different applications is increasing exponentially, but this increased use has also raised some questions regarding privacy and security of data being stored in it. Protecting privacy of blockchain data using data perturbation strategy such as differential privacy could be a novel approach to overcome privacy issues in blockchain. In this article, we cover the topic of integration of differential privacy in each layer of blockchain and in certain blockchain based scenarios. Moreover, we highlight some future challenges and application scenarios in which integration of differential privacy in blockchain can produce fruitful results.



中文翻译:

区块链技术中的差异隐私:一种未来的方法

区块链由于其分散,防篡改和透明的性质而受到广泛关注。区块链遵循分布式,安全和共享分类账的原理,该原则用于记录和跟踪分散网络中的数据。这项技术已成功取代了组织中的某些经济交易系统,并有可能在将来超越各种工业商业模式。区块链通过其点对点(P2P)现象进行工作,并且不需要任何受信任的第三方授权即可进行数据跟踪和存储。存储在区块链中的信息分布在整个分散网络中,通常使用加密哈希函数进行保护。自从区块链技术开始以来,它在不同应用程序中的使用呈指数增长,但是这种增加的使用也引发了一些有关存储在其中的数据的隐私和安全性的问题。使用诸如差异隐私之类的数据扰动策略来保护区块链数据的隐私可能是克服区块链中隐私问题的一种新颖方法。在本文中,我们涵盖了在区块链的每一层以及某些基于区块链的场景中集成差异隐私的主题。此外,我们重点介绍了一些未来的挑战和应用场景,其中将差异隐私集成到区块链中可以产生丰硕的成果。使用诸如差异隐私之类的数据扰动策略来保护区块链数据的隐私可能是克服区块链中隐私问题的一种新颖方法。在本文中,我们涵盖了在区块链的每一层以及某些基于区块链的场景中集成差异隐私的主题。此外,我们重点介绍了一些未来的挑战和应用场景,其中将差异隐私集成到区块链中可以产生丰硕的成果。使用诸如差异隐私之类的数据扰动策略来保护区块链数据的隐私可能是克服区块链中隐私问题的一种新颖方法。在本文中,我们涵盖了在区块链的每一层以及某些基于区块链的场景中集成差异隐私的主题。此外,我们重点介绍了一些未来的挑战和应用场景,其中将差异隐私集成到区块链中可以产生丰硕的成果。

更新日期:2020-07-06
down
wechat
bug