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Blockchains for Network Security最新文献

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Blockchain application in remote sensing big data management and production 区块链在遥感大数据管理和生产中的应用
Pub Date : 2020-11-10 DOI: 10.1049/pbpc029e_ch12
Jining Yan, Lizhe Wang, Feng Zhang, Xiaodao Chen, Xiaohui Huang, Jiabao Li
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引用次数: 0
Scaling-out blockchains with sharding: an extensive survey 用分片扩展区块链:一项广泛的调查
Pub Date : 2020-11-10 DOI: 10.1049/pbpc029e_ch10
Guangsheng Yu, Xu Wang, Kan Yu, Wei Ni, J. A. Zhang, R. Liu
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引用次数: 4
Introduction to blockchains 区块链简介
Pub Date : 2020-11-10 DOI: 10.1049/pbpc029e_ch1
Haojun Huang, Jialin Tian, G. Min, W. Miao
A blockchain is a distributed database or ledger that maintains an ever-growing list of data records in opposition to tampering and revision. It provides immutable data storage over a distributed network and supports a large number of encrypted and coded interactions, which improves the reliability of the entire network interaction system and reduces the need for trust. Even if some nodes in the blockchain are hacked and fail, the system can run as usual. (In such a scenario, users are enabled to form a distributed peer -to peer (P2P) network in which they could interact with each other in an efficient manner without a trusted intermediary). In addition to being famous for decentralization, blockchain has shown other significant characteristics during its development, such as reliability, anonymity, transparency, auditability and programming. According to the different degree of openness and coverage, the current blockchain can be classified into three categories: public blockchain, consortium blockchain and private blockchain. In this process, the evolution of blockchain has gone through three processes: blockchain 1.0, 2.0 and 3.0. Blockchain 1.0, known as digital currency stage, is strongly related with the decentralization and payment of cryptocurrencies. Blockchain 2.0, known as digital finance stage, introduces economic, financial and market applications by programming far from simple currency transactions. Among them, the most significant features of blockchain 2.0 are the introduction and application of smart contracts. Blockchain 3.0, known as digital society stage, provides decentralized solutions for a variety of industries beyond just financial scene.
区块链是一种分布式数据库或分类账,用于维护一个不断增长的数据记录列表,防止篡改和修改。它通过分布式网络提供不可更改的数据存储,并支持大量加密和编码交互,从而提高了整个网络交互系统的可靠性,降低了对信任的需求。即使区块链中的某些节点被黑客攻击而失效,系统也能照常运行。(在这种情况下,用户能够形成一个分布式的点对点(P2P)网络,在这个网络中,他们可以在没有可信中介的情况下高效地进行交互)。除了以去中心化著称外,区块链在发展过程中还表现出其他显著特点,如可靠性、匿名性、透明性、可审计性和可编程性。根据开放程度和覆盖范围的不同,目前的区块链可分为三类:公共区块链、联盟区块链和私有区块链。在这个过程中,区块链的演进经历了区块链1.0、2.0和3.0三个过程。区块链 1.0 被称为数字货币阶段,与加密货币的去中心化和支付密切相关。区块链 2.0,即数字金融阶段,通过编程引入经济、金融和市场应用,远远超出了简单的货币交易。其中,区块链 2.0 的最大特点是智能合约的引入和应用。区块链 3.0 被称为数字社会阶段,为金融场景之外的各行各业提供去中心化的解决方案。
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引用次数: 2
Blockchain consensuses and incentives bbb10共识和激励
Pub Date : 2020-11-10 DOI: 10.1049/pbpc029e_ch3
Meijun Li, Gaoyang Liu, Jialin Tian, Chen Wang, Yang Yang, Shaohua Wan
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引用次数: 0
Blockchain-driven privacy-preserving machine learning 区块链驱动的隐私保护机器学习
Pub Date : 2020-11-10 DOI: 10.1049/pbpc029e_ch8
Youyang Qu, Longxiang Gao, Yong Xiang
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引用次数: 0
Blockchain for GIS: an overview GIS的区块链:概述
Pub Date : 2020-11-10 DOI: 10.1049/pbpc029_ch11
Yong Wang, Lizhe Wang, Dongfang Zhang, Cheng-Yi Li
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引用次数: 0
Blockchain applications, projects and implementations 区块链应用程序、项目和实现
Pub Date : 2020-11-10 DOI: 10.1049/pbpc029e_ch4
Haojun Huang, G. Min, W. Miao, Haozhe Wang
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引用次数: 0
Blockchain in 5G and 6G networks 5G和6G网络中的区块链
Pub Date : 2020-11-10 DOI: 10.1049/pbpc029e_ch6
Minghao Wang, Xuhan Zuo, Tianqing Zhu
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引用次数: 0
Performance Evaluation of Differential Privacy Mechanisms in Blockchain based Smart Metering 基于区块链的智能计量中差分隐私机制的性能评估
Pub Date : 2020-07-19 DOI: 10.1049/pbpc029e_ch9
M. Hassan, M. H. Rehmani, Jinjun Chen
The concept of differential privacy emerged as a strong notion to protect database privacy in an untrusted environment. Later on, researchers proposed several variants of differential privacy in order to preserve privacy in certain other scenarios, such as real-time cyber physical systems. Since then, differential privacy has rigorously been applied to certain other domains which has the need of privacy preservation. One such domain is decentralized blockchain based smart metering, in which smart meters acting as blockchain nodes sent their real-time data to grid utility databases for real-time reporting. This data is further used to carry out statistical tasks, such as load forecasting, demand response calculation, etc. However, in case if any intruder gets access to this data it can leak privacy of smart meter users. In this context, differential privacy can be used to protect privacy of this data. In this chapter, we carry out comparison of four variants of differential privacy (Laplace, Gaussian, Uniform, and Geometric) in blockchain based smart metering scenario. We test these variants on smart metering data and carry out their performance evaluation by varying different parameters. Experimental outcomes shows at low privacy budget ($varepsilon$) and at low reading sensitivity value ($delta$), these privacy preserving mechanisms provide high privacy by adding large amount of noise. However, among these four privacy preserving parameters Geometric parameters is more suitable for protecting high peak values and Laplace mechanism is more suitable for protecting low peak values at ($varepsilon$ = 0.01).
差分隐私的概念作为在不可信环境中保护数据库隐私的一个强有力的概念而出现。后来,研究人员提出了几种差异隐私的变体,以便在某些其他场景(如实时网络物理系统)中保护隐私。此后,差分隐私被严格地应用于其他需要隐私保护的领域。其中一个领域是基于去中心化区块链的智能电表,其中智能电表作为区块链节点将其实时数据发送到电网公用事业数据库以进行实时报告。这些数据进一步用于执行统计任务,如负荷预测、需求响应计算等。然而,如果任何入侵者访问这些数据,它可能会泄露智能电表用户的隐私。在这种情况下,可以使用差分隐私来保护这些数据的隐私。在本章中,我们对基于区块链的智能计量场景中的四种差分隐私(拉普拉斯、高斯、均匀和几何)进行了比较。我们在智能计量数据上测试了这些变体,并通过改变不同的参数进行了性能评估。实验结果表明,在低隐私预算($varepsilon$)和低读取灵敏度值($delta$)下,这些隐私保护机制通过增加大量噪声来提供高隐私。但在这4个隐私保护参数中,几何参数更适合保护高峰值,拉普拉斯机制更适合保护低峰值($varepsilon$ = 0.01)。
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引用次数: 4
EdgeChain to provide security in organization-based multi-agent systems EdgeChain为基于组织的多代理系统提供安全性
Pub Date : 1900-01-01 DOI: 10.1049/pbpc029e_ch7
Diego Valdeolmillos, Roberto Casado-Vara, J. Corchado
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引用次数: 0
期刊
Blockchains for Network Security
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